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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Noetic Psychology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sains Matematika dan Statistika BANGUN REKAPRIMA Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education Yumary: Jurnal Pengabdian kepada Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya INJURITY: Journal of Interdisciplinary Studies Jurnal Akademik Pengabdian Masyarakat ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) El-Qisth Jurnal hukum keluarga Islam Community Impact and Society Empowerment Journal
Adi Setiawan
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Implementasi Metode Association Rule untuk Menganalisis Data Twitter tentang Badan Penyelenggara Jaminan Sosial dengan Algoritma Frequent Pattern-Growth Tamaela, Jemaictry; Sediyono, Eko; Setiawan, Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.588 KB) | DOI: 10.21456/vol8iss1pp25-33

Abstract

BPJS services cannot be separated from criticism and complaints of the people in Indonesia. Twitter is one of the social media choose to share experiences related to things about BPJS. The information that is shared can be processed to gain new knowledge (knowledge discovery), which is related to public opinion about BPJS. Tweets collected from the national BJPS twitter are divided into words, then, specified words can be used as items to form the itemset. The association rule technique with the FP-Growth algorithm that is implemented in the application can process text data from Twitter to form the item set. Each item set contains a collection of tweets that are responses and the opinion of the community about an event or phenomenon related to BPJS services. The tree structure of FP-Growth simplifies the process of the validation because it can track and display the frequency of occurrence of each word and itemset, before and after branch pruning which is not included in the support value. The OSM API integration with the application in this study provides visual information about where the tweet comes from, so it can be used to generate itemset from a collection of tweets from a particular region.
PERANCANGAN SISTEM INFORMASI MANAJEMEN RANTAI PASOK (SUPPLY CHAIN MANAGEMENT) UNTUK DISTRIBUSI PANGAN KABUPATEN MINAHASA TENGGARA Ama, Aldian Umbu Tamu; Sediyono, Eko; Setiawan, Adi
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Abstract

Rendahnya penyediaan informasi yang mendukung pengelolaan hasil pertanian di daerah Minahasa Tenggara akan berpengaruh pada distribusi hasil produksi. Distribusi yang tidak merata dapat menyebabkan stok produk di suatu daerah akan sangat berlebih, dan di daerah lain menjadi sangat kurang, hal ini akan memicu kurangnya keseimbangan harga produk yang beredar dipasaran. Melihat permasalahan yang ada maka perlu dirancang dan diterapkan sistem informasi yang akan memberikan solusi untuk mengumpulkan berbagai informasi hasil pangan daerah-daerah dan dikelola untuk mengetahui seberapa banyak hasil produksi yang harus dikonsumsi, dijual dan bisa didistribusikan ke daerah lain dari petani atau kelompok tani maupun perusahaan pertanian berbadan hukum. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research and Development). Rancangan sistem dibuat dengan memperhatikan aspek-aspek kebutuhan fungsional dan non-fungsional. Pengujian rancangan menggunakan loop testing untuk menggambarkan pembentukan struktur program secara keseluruhan.
CLUSTER ANALYSIS MENGGUNAKAN ALGORITMA FUZZY C-MEANS DAN K-MEANS UNTUK KLASTERISASI DAN PEMETAAN LAHAN PERTANIAN DI MINAHASA TENGGARA Tamaela, Jemaictry; Sediyono, Eko; Setiawan, Adi
Jurnal Buana Informatika Vol 8, No 3 (2017): Jurnal Buana Informatika Volume 8 Nomor 3 Juli 2017
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.743 KB) | DOI: 10.24002/jbi.v8i3.1317

Abstract

Abstract. The purpose of this study is to perform cluster analysis and implementation by utilizing fuzzyc-means (FCM) and k-means (KM) to process agricultural data based on the data mining results. The fuzzy c-means (FCM) and k-means (KM) are implemented to find out and form the agricultural land clusters which appropriate the commodity types based on the supporting attributes that are used. The analysis and implementation results could provide some land information such as the number of the clusters, the land areas, the region areas, the locations and the productivity levels. The results of this study could be applied as the suggestion in converting the land functions and structuring the agricultural lands. The utilization of Openstreetmap is an open source solution which is implemented in the application. It could give visual information related to the agricultural land regions based on the clusters which make it easier to comprehend. Keywords: Cluster analysis, C-means, K-means, GIS, Data mining Abstrak. Penelitian ini bertujuan untuk melakukan analisis cluster dan implementasinya dengan menggunakan algoritma fuzzy c-means (FCM) dan k-means (KM) untuk mengelola data  pertanian dari hasil data mining yang dilakukan. Fuzzy c-means (FCM) dan k-means (KM) dimplementasikan untuk menemukan dan membentuk klaster-klaster daerah lahan pertanian sesuai dengan jenis komoditi berdasarkan atribut-atribut pendukung yang digunakan. Hasil analisis dan implementasi dapat menyediakan informasi lahan seperti jumlah kluster, luas lahan, luas daerah, letak dan tingkat produktifitas. Hasil yang diperoleh dapat menjadi bahan masukan dalam proses alih fungsi dan penataan lahan pertanian. Penggunaan Openstreetmap merupakan solusi open source yang diimplementasikan pada aplikasi dapat memberikan informasi  visual daerah-daerah lahan pertanian berdasarkan klaster yang dihasilkan sehingga lebih mudah untuk dipahami.Keywords: Cluster analysis, c-means, k-means, GIS, Data mining
SUBJECTIVE WELL-BEING AND HEALTHY BEHAVIOR OF ELDERLY WITH DEMENTIA ALZHEIMER’S (A PHENOMENOLOGICAL STUDY) Pariama, Aprillia Mauren; Ranimpi, Yulius Yusak; Setiawan, Adi
MNJ (Malang Neurology Journal) Vol. 6 No. 2 (2020): July
Publisher : PERDOSSI (Perhimpunan Dokter Spesialis Saraf Indonesia Cabang Malang) - Indonesian Neurological Association Branch of Malang cooperated with Neurology Residency Program, Faculty of Medicine Brawijaya University, Malang, Indonesia

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Abstract

Background: Dementia is a syndrome caused by decreased cognitive function due to aging, genetics, vascular disease and low physical and cognitive activities. Alzheimer's is the most common cause of dementia. Despite experiencing holistic changes in their lives, elderly with dementia Alzheimer's are entitled to well-being. Measurement of Subjective Well-being (SWB) is used to determine the well-being state of elderlies.Objective: The purpose of this study is to analyze the expression of Subjective well-being (SWB) and the healthy behavior of elderlies with dementia Alzheimer's.Methods: This study uses a qualitative phenomenological approach with a descriptive hermeneutics type. The data collection was done by in-depth interview techniques with the type of auto-anamnesis, observed, and family statements. The data analysis process was carried out in 3 stages (Verbatim, initial and focused coding, determination of categories were made in the form of themes). Data validity test used data triangulation techniques.Results: Participants in this study are 3 elderlies age 75 and 76 years who had mild dementia Alzheimer's. This condition affects participants ability in expressing their SWB and health behavior that are described in physical disorders, life satisfaction, satisfaction with important domains, positive influence, behavior change, treatment-seeking, and cognitive failure.Conclusion: Reported high subjective well-being is closely related to the low level of unpleasant emotions during their life journey. Healthy behavior is strongly influenced by knowledge, demographic factors, personal goals and values, social influence, and access to health services. Two participants managed to express SWB and healthy behaviors better than one participant.
Area calculation based on GADM geographic information system database Adi Setiawan; Eko Sediyono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14901

Abstract

This paper aims to provide an overview of the calculation of the area of Indonesia based on the boundaries of sub-district/village, district, regency/city. The circle approach method is proposed as a fast method for determining the land area of Indonesia. The total area of Indonesia can be obtained by adding up to 33 provinces or 502 regencies/cities or 6696 districts or 77474 sub-districts. Calculation of the area of the area using district boundaries is better used in the calculation of the area of Indonesia which is obtained 1,965,443.51 km2. The results obtained are 2.53% bigger than the reference area.
Penentuan luas wilayah kabupaten dan kota di provinsi sulawesi tengah menggunakan metode poligon dengan bantuan google earth Romauli Basaria; Adi Setiawan; Eko Sediyono
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 3, No 1 (2018)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.797 KB) | DOI: 10.26486/jm.v3i1.606

Abstract

Penelitian ini membahas tentang perhitungan luas suatu wilayah dengan menggunakan metode poligon berdasarkan data yang diperoleh dari Google Earth. Wilayah yang akan diteliti adalah Provinsi Sulawesi Tengah yang beberapa kabupaten dan kota diantaranya ada yang berada di dua zona. Hasil yang diperoleh kemudian dibandingkan dengan luas yang menjadi acuan. Jika titik batas wilayah dari kabupaten yang ditentukan secara acak, Median Absolute Precentage Error (MdAPE) adalah 7%. Di sisi lain, titik batas wilayah dari kabupaten yang ditentukan berdasarkan arah mata angin, MdAPE akan menjadi 20,4%.
The Determination of Village Area in Semarang Regency Using The Circle Method Vikky Aprelia Windarni; Adi Setiawan
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 6, No 1 (2021)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jm.v6i1.1876

Abstract

This research conducted a calculation of all villages area (253 villages) which located in Semarang regency. The data obtained is based on the data from GADM and Google earth by using the coordinate points (latitude and longitude). The research stage used were (1) finding the coordinate of villages boundaries in Semarang regency based on the data from GADM and Google Earth, (2) calculating the village area using two methods (Karney polygon method and circle method) and (3) analyzing the comparison of villages area based on each district and the reference area from Central Statistics Agency (BPS). The purpose of this research is the researchers would like to find out whether or not the Karney polygon method can be used to calculate the area of 253 villages in Semarang regency. From this research, it obtains the percentage difference with the lowest and highest percentage based on the data from GADM and Google Earth. The lowest percentage uses the Karney polygon method (GADM) of 7.63% and the highest percentage is 66.5%. The lowest percentage uses the circle method (GADM) is 14.39% and the highest percentage is 74.79%. The lowest percentage uses the Karney polygon method (Google Earth) is 7.63% and the highest percentage is 66%. The lowest percentage uses the circle method (Google Earth) is 15.87% and the highest percentage is 234%. MdAPE results for the data based on GADM using the Karney polygon method has the percentage of 18.73% and 35.19% by using the circle method. Based on Google Earth using the Karney polygon method, it has the percentage of 18.48% and 33.93% by using the circle method. It can be concluded that the Karney polygon method can be used to calculate the area of 253 villages in 19 districts in Semarang regency based on the data from GADM and Google Earth
Model Galat Spasial Untuk Jumlah Produksi Padi Tahun 2014 Di Jawa Barat Alicia Anggelia Lumbantoruan; Adi Setiawan; Bambang Susanto
Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Vol 3, No 2 (2019)
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jm.v3i2.753

Abstract

Indonesia merupakan salah satu negara produksi padi oleh karena itu luas lahan yang merupakan faktor utama yang sangat berpengaruh dalam produksi padi. Pad studi ini mengusulkan Model Galat Spasial dalam penerapan untuk jumlah produksi padi dan jumlah produksi padi tetangga. Model ini mengasumsikan bahwa kesalahan dalam model memiliki hubungan spasial antara satu daerah dan daerah lain. Data yang diolah adalah luas lahan produksi dan jumlah produksi padi di setiap kabupaten, di Jawa Barat pada tahun 2014. Matriks Pembobot juga digunakan, dalam menggambarkan kedekatan antar wilayah. Hasil yang diperoleh dari model spasial diketahui bahwa konstanta dan juga jumlah total produksi daerah tetangga tidak dipengaruhi berdasarkan hasil konstanta negatif dan juga hasil uji t, yang menyatakan bahwa jumlah produksi tetangga daerah tidak mempengaruhi jumlah produksi padi. Regresi sederhana tanpa konstanta adalah model terbaik untuk produksi tanaman padi yang hanya didasarkan pada area produksi.
PENGGUNAAN RESAMPLING DALAM PENGGAMBARAN QUICK COUNT ADI SETIAWAN
Jambura Journal of Probability and Statistics Vol 1, No 1 (2020): Jambura Journal of Probability and Statictics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v1i1.5643

Abstract

In this paper a descriptive statistical analysis of the results of the 2019 presidential election was presented related to the quick count result. Descriptive statistical analysis was also conducted on the results of the 2019 presidential election in Salatiga City (Central Java province), Solok City (West Sumatra province) and Rejang Lebong Regency (Bengkulu province). The resampling method is used to illustrate how the quick count method can be explained for finite populations in Salatiga City, Solok City and Rejang Lebong Regency. By using resampling, the percentage obtained by the Jokowi-Amin pair in Salatiga, Solok and Rejang Lebong are 78.05%, 87.86% and 56.85%, whereas the reality for the three cities in a row is 78.03%; 87,79% and 56.36%.
DUKUNGAN SOSIAL ORANGTUA, DUKUNGAN SOSIAL TEMAN SEBAYA DAN KECERDASAN EMOSIONAL SEBAGAI PREDIKTOR STRES AKADEMIK SISWA SMK NEGERI 1 KEDUNG Baskoro Arie Nugroho; Christiana Hari Soetjiningsih; Adi Setiawan
Inquiry: Jurnal Ilmiah Psikologi Vol 10 No 2 (2019)
Publisher : Universitas Paramadina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.233 KB)

Abstract

Academic stress can now be found among vocational students, but this can be overcome by facilitating Parental Social Support, Peer Social Support and Emotional Intelligence. The purpose of this study is to prove Parental Social Support, Peer Social Support with Emotional Intelligence as a predictor of Academic Stress. The subjects in this study were 150 students of SMK Negeri 1 Kedung and the method of data collection in this study was psychological scale. Data analysis using multiple linear regression statistical techniques, all calculations using SPSS version 20.0. The results of data analysis obtained the simultaneous value of R between Parental Social Support, Peer Social Support and Emotional Intelligence towards Academic Stress was 0.321 and F value = 12.420 with a significance value of 0.000 (p <0.05). This shows that there is a simultaneous influence between parental social support, peer social support and emotional intelligence on academic stress and also obtained R Square value of 0.103, which means that parental social support, peer social support and emotional intelligence together contribute 10.3% academic stress, the rest is influenced by other factors
Co-Authors Abesha, Muhammad Bagas ADELIA, PUTRI Adella Septiana Mugirahayu Agatha, Titania Puela Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan Alkhinaya, Imelzsa ALOYSIUS JOAKIM FERNANDEZ Arbi, Mokhram Ari Ariani, Dwi Setya Arum, Naiya Giska Fauzhia Sekar Atina Rahmatalia Ayu Pratiwi, Ayu Bambang Susanto Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati Cintika, Sara Famelia D. B. Nugroho, D. B. Daivi Wardani, Daivi Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Diah Wulansari Hudaya, Diah Wulansari Didit Budi Nugroho Djoko Hartanto E. D. Saputri, E. D. Eko Sediyono Elsa Septyana Endang Sulistyaningsih Faldy Tita Fika Widya Pratama Florentina Tatrin Kurniati Gustina, Devi Haay, Happy Alyzhya Hamsani Hamsani, Hamsani Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Haryadi, Andri Henderi . Henrizal, Henrizal Henry Junus Wattimanela Hidayat, Mario Ignatius Agus Supriyono Ilham Hizbuloh Imansyah, Salmaa R. N Irwan Sembiring Iwan Setiawan Iwan Setyawan Joko Siswanto JT Lobby Loekmono Kasmadi Kasmadi Keo, Jitro Jemryes Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Larassati, Dian Sukma Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Litra Diantara Lydia Soepriyani Fallo masipupu, Frangky Aristiadi Meydelina, Gloria Migunani Migunani Mitha Febby R. Donggori Mitha Febby R. Donggori Modjo, Marchella Ellena Mohammad Ridwan Mukti, Audy Desaela Junia Munika, Rani Mustafa Kamal Nafisah Riskya Hasna Nasoetion, Panisean Nasrudienullah, Muhammad Ikhsan Ninda Lutfiani Nizwan Zukhri Olivia Rumahpasal Pariama, Aprillia Mauren Pirmansyah Pirmansyah Pradani, Wynona Adita Priatna , Wowon Pronika, Yeni Purbaratri, Winny Purwanto Purwoko, Agus Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Reniati Reniati Riana Dewi Romauli Basaria Roy Rudolf Huizen Rudhito, Andy Salomina Patty Saputra, Muhammad Dio SARI, EMMA NOVITA Sari, Fariezta Setivani, Febi Sri Suwartiningsih Sulistio Sulistio Suryasatriya Trihandaru Sutarto Wijono Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Uli, Desti Monika Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wahyuni Kristinawati Waney, Natalia Christy Wattimanela, Henry Junus Wibowo, Mars Caroline Wiguna, Edo Wijaya, Maruf Ajisaka Wijayanti, Yunita Puput Windarni, Vikky Aprelia Wisnu Anendya Sekti Yenusi, Yuni naomi Yulius Yusak Ranimpi Yuono, Sukma Setyo Zuliani, Nopita zurman, zurman