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All Journal Jurnal Ilmu Dasar Statistika Journal of Oceanography Jurnal Gaussian Novum : Jurnal Hukum Jurnal Statistika Universitas Muhammadiyah Semarang Dia: Jurnal Administrasi Publik The Indonesian Biomedical Journal Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Bina Hukum Lingkungan KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Surya Kencana Satu : Dinamika Masalah Hukum dan Keadilan JURNAL USM LAW REVIEW Jurnal Darma Agung Legal Spirit MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Jurnal Hukum Lex Generalis Jurnal Idea Hukum Indonesian Journal of Librarianship Jurnal Ilmiah Wahana Pendidikan Decode: Jurnal Pendidikan Teknologi Informasi KARYA: Jurnal Pengabdian Kepada Masyarakat Jurnal Administrasi Pemerintahan Desa Bina Hukum Lingkungan Deposisi: Jurnal Publikasi Ilmu Hukum Kultura: Jurnal Ilmu Sosial dan Humaniora Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Informasi interaktif : jurnal informatika dan teknologi informasi

Arief Rachman Hakim

Unknown Affiliation

Author-ID : 272919

Religion Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Measurement of Reading Level Index in Salatiga City Warsito, Budi; Hakim, Arief Rachman; Fatmawati, Endang
Indonesian Journal of Librarianship Indonesian Journal of Librarianship Vol. 4 No. 2 (2023)
Publisher : Department Library of Governance Institut of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33701/ijolib.v4i2.3581

Abstract Background: Concerning the increase in reading interest in Salatiga City, a scientific study is needed, which can become the basis for a policy decision so that the index will increase. Purpose: To measure the level of interest in reading people in Salatiga in 2023 comprehensively and precisely. Method: Methods using quantitative. This research was conducted using sampling techniques and research instruments, which have been determined by the National Library of Indonesia and have become national standards. The location of the research was carried out in the city of Salatiga, and sampling was done by simple random technique. Respondents amounted to 399 people with criteria aged 10-69 years. Measurements were made using five key performance indicators, namely reading frequency per week, duration of reading per day, amount of reading material per quarter, frequency of internet access per week, and duration of internet access per day. Result: The study results show that the value of the reading enthusiasm of the people in Salatiga City in 2023 is in the High category (62.13). Conclusion: Measurement of reading level index in Salatiga City to improving community reading literacy. The index value for the level of fondness for reading from the results of the 2023 study has decreased from the 2022 measurement, which had an index of 64.08. Keywords: Reading Frequency; Reading Duration; Reading Preferences; Reading Activity; Literacy Culture

Value at Risk with Performing Exponential Generalized Autoregressive Conditional Heteroscedasticity–Generalized Pareto Distribution Sinambela, Nadiyah Hafidah; Maruddani, Di Asih I; Hakim, Arief Rachman
Jurnal ILMU DASAR Vol 23 No 1 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i1.18822

Stocks are an investment that many investors are interested in but often have a high risk. Value at Risk (VaR) is one tool that is often used in risk measurement. In general, financial data fluctuate rapidly so that the variants of the residuals are not constant or heteroscedasticity. The condition of heteroscedasticity is modeled using the ARCH/GARCH model. If there is an asymmetric effect on the data, it is modeled using an asymmetric GARCH model, namely Exponential GARCH (EGARCH). In addition to the impacts of heteroscedasticity and asymmetric events, extreme events in fat distribution tails are modeled using the Extreme Value Theory method, namely the Peaks Over Threshold method with the Generalized Pareto Distribution (GPD) approach. The data in this study is the return data of PT. Indocement Tunggal Prakarsa Tbk (INTP) for the period of March 1, 2013 - October 31, 2018. It was found that the data was heteroscedasticity, asymmetric, and there were also fat distribution tails, so it was modeled using a combination of EGARCH-GPD models. ARIMA ([2], 0, [2,13]) EGARCH (1,1) has the smallest AIC compared to other models, and then we choose it as the best model. The amount of risk with a 95% confidence level obtained with the GPD approach is 0.333% of current investment.

Koordinasi Pemerintah dalam Pemberian Bantuan Langsung Tunai Dana Desa (BLT-DD) di Kabupaten Hulu Sungai Tengah Provinsi Kalimantan Selatan Hakim, Arief Rachman; Simangunsong, Fernandes
Jurnal Administrasi Pemerintahan Desa Vol. 2 No. 2 (2021): Agustus 2021
Publisher : Indonesian Journal Publisher

Penelitian ini bertujuan untuk mengetahui serta menganalisis pola koordinasi pemerintahan dalam pemberian Bantuan Langsung Tunai Dana Desa, selain itu juga untuk mengetahui faktor pendukung dan penghambat koordinasi tersebut, serta mengetahui upaya apa yang tepat dalam mengatasi faktor penghambat koordinasi pemerintahan dalam pemberian BLT DD di Kabupaten Hulu Sungai Tengah Provinsi Kalimantan Selatan. Teori yang digunakan adalah teori koordinasi menjelaskan bahwa koordinasi meliputi 5 (lima) indikator yaitu komunikasi, kesadaran pentingnya koordinasi, kompetensi partisipan, kesepakatan, komitmen, dan insentif koordinasi, dan terakhir kontuinitas perencanaan. Metode penelitian nya adalah kualitatif deskriptif dengan pendekatan induktif. Teknik pengumpulan data yakni: wawancara, observasi, dan dokumentasi. Informannya, antara lain: Sekretaris Daerah, Ketua Komisi 1 DPRD, Asisten 1 Sekretariat Daerah, Kepala BAPPEDA, Kepala Dinas Pemberdayaan Masyarakat dan Desa, Camat Labuan Amas Selatan, Camat Batang Alai Utara, Kepala Desa Lubunganak dan Kepala Desa Banua Kepayang. Terdapat faktor pendukung seperti : adanya pengawasan pemerintah, peran aktif RT/RW dan kerjasama yang baik antar pelaksanaan di desa, serta peran serta masyarakat umum dalam mensukseskan program tersebut. Faktor penghambatnya diketahui adanya salah paham dan kurang lancarnya komunikasi akibat tidak ada jaringan komunikasi, serta adanya perbedaan persepsi di dalam masyarakat.

PERBANDINGAN KINERJA METODE KLASIFIKASI K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINES PADA DATASET PARKINSON Ridho, Wahyu Anwar; Wuryandari, Triastuti; Hakim, Arief Rachman
Jurnal Gaussian Vol 12, No 3 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.3.372-381

The government program in the form of social assistance (bansos) is part of the effort to improve the welfare of the community and ensure basic needs and improve the standard of living of the recipients. However, there are often cases of mistargeting of social assistance programs by the government. Improper data management and Data Terpadu Kesejahteraan Sosial (DTKS) which are not used as the cause of the distribution of social assistance are not well targeted. The data can be analyzed using the classification method to determine whether or not the family accepts the ban from the government. This study classifies the SUSENAS data by comparing K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). The advantage of the KNN method lies in the level of accuracy to solve problems with large data while the SVM method has better performance in various fields of application such as bioinformacs, handwriting recognition, text classification and so on. Based on training data and testing data comparison 85%:15% showed that KNN method had a better classification performance than the SVM method. The accuracy value of KNN method is 80,95% higher than the accuracy value of SVM method is 78,79%.

PEMBENTUKAN PORTOFOLIO OPTIMAL DENGAN METODE MEDIAN VARIANCE PADA SAHAM JAKARTA ISLAMIC INDEX (JII) SEKTOR CONSUMER GOODS Faadillah, Muhamad Nabil; Maruddani, Di Asih I; Hakim, Arief Rachman
Jurnal Gaussian Vol 12, No 4 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.4.487-498

Investment is an activity to place owned assets or funds in a product hoping that there will be profits in the future. This case study was conducted by calculating the optimal portfolio using the median variance and calculating Value at Risk (VaR) using the historical simulation method. Median Variance in portfolio optimization is more suitable to be used as an investment guide because the method is not fixated on the normality distribution of the data. The data used is the Jakarta Islamic Index (JII) daily stock price data for 1 year period, which start from April 23th 2021 until April 23th 2022. The stock price used in this research is the closing price data each day during the period. The return data is used to find the weight using Median Variance method so that an optimal portfolio is formed. it is known that the Value at Risk with a confidence level of 95% and the next 1-day time period is -0,024088232 or -2,41% by investing 1% of the funds into UNVR.JK shares., by 58 % to shares of ICBP.JK, by 57% to shares of INDF.JK, by 1% to shares of JPFA.JK, and the last -17% to KLBF.JK shares is 2.41%.

ANALISIS KEPUASAN TERHADAP LAYANAN APLIKASI DOLTINUKU DENGAN MENGGUNAKAN METODE STRUCTURAL EQUATION MODELING-PARTIAL LEAST SQUARE (SEM-PLS) Ul Haq, Hasna Faridah Dhiya; Hakim, Arief Rachman; Suparti, Suparti
Jurnal Gaussian Vol 12, No 4 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.4.605-615

Doltinuku is an application that is used to buy and sell products and services online from MSME in Gedawang, Banyumanik Sub-District, Semarang City which was just launched in June 2021. Because this application is still new, this application needs to be developed by looking at users' satisfaction. This study wants to determine Doltinuku customer satisfaction using Structural Equation Modeling-Partial Least Square (SEM-PLS) method. PLS is an alternative method of SEM that is able to handle variance-based problems. In this study, customer satisfaction is measured through variables such as Quality, Information, Reputation, and Trust. Based on the results of the analysis, variables that have a significant effect on customer satisfaction are variable Quality and Reputation and have influence of 70.9% on satisfaction whose value is obtained from the R2 value. Then the variables that have no significant effect are variable Information and variable Trust.

METODE ENSEMBLE ROBUST CLUSTERING USING LINKS (ROCK) UNTUK PENGELOMPOKAN PERGURUAN TINGGI SWASTA (PTS) DI KOTA SEMARANG Jannah, Berliana; Utami, Iut Tri; Hakim, Arief Rachman
Jurnal Gaussian Vol 12, No 3 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.3.445-452

The purpose of this research is to group PTS that have performance achievements in five years, through the quality of Human Resources and Students (Input), the quality of Institutional Management (process), the quality of Short-Term Performance Achievements (Output) and the quality of Long-Term Performance Achievements (Outcome). In addition, it can also be seen from the form of PTS, PTS Accreditation and PTS Research Performance. This PTS grouping uses mixed data, namely numerical data and categorical data. The method used for grouping mixed data is the ROCK ensemble method (Robust Clustering Using Links). The results of clustering numerical data obtained the optimum number of groups 3, on categorical data obtained the optimum group 4. After clustering each type of data and merging and clustering obtained the optimum group 3 with a threshold (θ) is 0.2. The results of each group are: low quality consist of 29 PTS, medium quality consist of 7 PTS, and high quality there is 1 PTS. The results of this research can be used to cluster private universities in Semarang City, so that it can be used as a reference for prospective students in choosing private universities in Semarang, and can be referenced to the Central Java LLDIKTI in determining the quality of private universities in Semarang City.

PENGGUNAAN MIXTURE MODEL KERNEL-GENERALIZED PARETO DISTRIBUTION DAN D-VINE COPULA DALAM MENGANALISIS UKURAN PELANGGARAN DATA Dzikra, Fathiyyah Yolianda; Wilandari, Yuciana; Hakim, Arief Rachman
Jurnal Gaussian Vol 12, No 3 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.3.392-402

The research conducted on the 2015-2021 Data Breach Report in the U.S. Department of Health and Human Services is a study related to the estimation and modeling of the breach sizes each type of entity using the Kernel-Generalized Pareto Distribution Mixture Model method, as well as the estimation of the dependence of breach sizes between years with the D-Vine Copula. The D-Vine Copula can accommodate the complex dependencies demonstrated by data breach reports across all enterprise categories. Before researching with D-Vine Copula, we will first model and estimate breach size parameters for each type of entity using the Mixture Model Kernel-Generalized Pareto Distribution (GPD). The Mixture Model can accommodate large data breach sizes via GPD and also allows the use of non-parametric kernel distributions to model smaller data breach sizes. The data resulting from the logarithmic transformation of entity data in the Business Associate and Healthcare Provider types has a right short-tail with Weibull distribution, while the Health Plan category has a right heavy-tail with Frechet distribution. The three types of entity were estimated using the maximum likelihood Cross-Validation method. Dependency estimation with D-Vine Copula shows that the breach sizes between years measure has a positive dependency.

Melindungi Hak Perempuan dan Anak Pasca Perceraian: Perspektif Hukum Islam dan Hukum Positif Indonesia Novalia, Sisca; Hakim, Arief Rachman
Jurnal Mediasas: Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Vol. 7 No. 2 (2024): Jurnal Mediasas: Media Ilmu Syariah dan Ahwal Al-Syakhsiyyah
Publisher : Islamic Family Law Department, STAI Syekh Abdur Rauf Aceh Singkil, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58824/mediasas.v7i2.219

Every divorce that occurs between a man and a woman will result in the emergence of new legal provisions on the rights of women and their children, and there are factors that support and hinder its implementation. This research is a qualitative study related to the rights of women and children after divorce decisions which is reviewed from the perspective of Islamic law. The method used in this study is normative juridical with the type of literature study research. The results of this study were obtained that after the occurrence of divorce, the rights of women and children, especially maintenance, are guaranteed in the Marriage Law, as well as the issuance of Perma number 3 of 2017. Then according to Islamic law, ex-husbands have an obligation to provide iddah and hadhanah maintenance to their wives and children, mut'ah alimony for women who are rejected, as well as dowry debts that must be paid immediately. Children's rights in Islamic law prioritize the best interests of children. This is stated in the main source of Islamic law (al-Qur'an and Hadith) that children also have inherent rights in their relationship with their parents, even though there has been a divorce. Likewise in positive law in Indonesia. The power of parents over children after divorce according to the provisions of the two laws (Islamic Law and Indonesian Positive Law) is in line, the meaning of parental power over children is very correlated with the meaning of marriage and divorce as regulated by the KHI and the Marriage Law and the Child Protection Law, which is to give the best to the child. So that both divorced parents must still fulfill the rights of their children, namely, the right to life, growth and development, protection and participation. [Setiap perceraian yang terjadi antara laki-laki dan perempuan akan mengakibatkan timbulnya ketetapan hukum baru terhadap hak perempuan dan anak-anaknya, serta terdapat adanya faktor-faktor yang mendukung dan menghambat pelaksanaannya. Penelitian ini merupakan studi kualitatif terkait hak perempuan dan anak pasca putusan perceraian yang ditinjau dalam perspektif hukum Islam. Metode yang digunakan dalam penelitian ini ialah yuridis normatif dengan jenis penelitian studi pustaka. Hasil dari penelitian ini diperoleh bahwa pasca terjadinya perceraian, hak-hak perempuan dan anak khususnya nafkah dijamin dalam Undang-Undang Perkawinan, serta dikeluarkannya Perma nomor 3 tahun 2017. Kemudian menurut hukum Islam, bekas suami memiliki kewajiban untuk memberikan nafkah iddah dan hadhanah kepada istri dan anaknya, nafkah mut’ah bagi perempuan yang ditalak, serta hutang mahar yang harus dilunasi segera. Hak anak dalam hukum Islam sangat mengedepankan kepentingan terbaik bagi anak. Hal ini tertuang dalam sumber utama hukum Islam (al-Qur’an dan Hadis) bahwa anak-anak pun memiliki hak yang melekat dalam hubungannya dengan kedua orang tuanya, meskipun telah terjadi perceraian. Begitu juga dalam hukum positif di Indonesia. Kekuasaan orang tua terhadap anak pasca perceraian menurut ketentuan kedua hukum (Hukum Islam dan Hukum Positif Indonesia) tersebut adalah sejalan, makna kekuasaan orang tua terhadap anak sangat berkolerasi terhadap makna perkawinan dan perceraian sebagaimana diatur oleh KHI dan UU Perkawinan dan UU Perlindungan anak, yaitu memberikan yang terbaik kepada anak. Sehingga kedua orang tua yang bercerai harus tetap memenuhi hak-hak anaknya yaitu, hak hidup, tumbuh kembang, perlindungan dan partisipasi].

Prediksi Vaksinasi Terhadap Penambahan Kasus Covid-19 Dengan Neural Network Damayanti, Irma; Hakim, Arief Rachman; Subarkah, Pungkas; Utami, Dias Ayu Budi; Rahayu, Prastyadi Wibawa
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 1: MARET 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i1.354

Covid-19 menjadi masalah kritis yang harus segera diselesaikan. Karena telah menyebabkan peningkatan kasus dan kematian yang signifikan di seluruh dunia. Upaya pencegahan dan pengendalian yang dilakukan oleh berbagai negara meliputi penutupan, pembatasan sosial, dan termasuk vaksinasi tak terkecuali di Indonesia. Analisis dan pemahaman yang lebih mendalam tentang hubungan antara vaksinasi dan penambahan kasus Covid-19 diperlukan. Dengan perkembangan teknologi dan berdasarkan penelitian terdahu model kecerdasan buatan yang salah satunya berupa jaringan saraf tiruan (neural network) dapat membantu dalam memodelkan dan memprediksi dampak vaksinasi terhadap penambahan kasus Covid-19. Penelitian ini melakukan perhitungan prediksi vaksinasi terhadap laju kenaikan kasus di Indonesia dengan Neural Network menggunakan struktur backpropagation. Data yang digunakan dalam penelitian ini yaitu data Covid-19 dan data vaksinasi ditahun 2020 sampai 2021. Hasil yang didapa bahwa model Neural Network dapat melakukan prediksi vaksinasi. Dengan pola skenario batchSize = 32, hidden layer = 5, learningRate = 0.3, momentum = 0.2 , dan trainingTime = 100 menunjukan akurasi 60,73% dengan nilai RMSE 0.484, yang mana diketahui bahwa 99 data yang berhasil diprediksi dengan tepat.

Co-Authors Abdul Hoyyi Afrianda, Charlina Retno Puteri Ahdi, Iwal Reza Alan Prahutama Aliansa, Wahyu Aljabar, Muhammad Isa Almuharrom, Fazar Ambarini , Shera Tri Aselina Pratidina Wrediningsih Asep Saepulrohman Baihaqi, Wiga Maulana Budi Warsito Budi Warsito Chiputra, Dhimas Wahyu Deden Ardiansyah Di Asih I Maruddani Dias Ayu Budi Utami, Dias Ayu Budi Djanggan Sargowo Dwi Agung Prasetyo, Dwi Agung Dwi Ispriyanti Dzikra, Fathiyyah Yolianda Endang Fatmawati Ermin Rachmawati Faadillah, Muhamad Nabil Fernandes Simangunsong, Fernandes Frengki, Muhammad Handirosiyanto, Ikhwan Hasbi Yasin Hasbi Yasin Herawati, Chania Putri Agustin Hermawan, Regita Cahyaningtyas Indratmoko, Daryll Alessandro Irma Damayanti Ismail, Mahrus Iut Tri Utami Jannah, Berliana Khomarudin Gilang Ramadhan Kosasih, Deny Poniman Leonardo Benito Maspaitella Lusi Agus Setiani Maulana, Syafiq Moch. Abdul Mukid Murdahayu Makmur Nanda Eka Prasetya Navydien, Miliarni Deida Novaria, Rachmawati Nurramadhan, Fadli Olandina Cahyani P Palupi, Aisyah Anudya Pinareswati, Shafira Tri Pinggala , Waode Prasetya , Syalaizha Febtria Putri Prastiawan, Andi Prastyadi Wibawa Rahayu Pratiwi, Yulita Dwi Puspitasari, Alvina Puspitasari, Rizki Dian Ridho, Wahyu Anwar riskiyah, Riskiyah - Riyan Hadithya Rizal Firmansyah Saputra, Indra Wahyu Sinambela, Nadiyah Hafidah Sisca Novalia Subarkah, Pungkas Sugiastari, Yuanita Putri Sugito Sugito sukristyanto, Agus Suparti Suparti Syahrir Syahrir Tarsadi, Tarsadi Triastuti Wuryandari Ul Haq, Hasna Faridah Dhiya Utomo, Khesya Khusnul Fadhilah Vella Septia Renanda Wardhani, Syanindita Puspa Yeremia, Dennis Yuciana Wilandari Yundari, Yundari Yunita Pipiet Sugandhi Zulkarnain, Steven Agilo

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