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All Journal Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Sisfokom (Sistem Informasi dan Komputer) JSiI (Jurnal Sistem Informasi) Krea-TIF: Jurnal Teknik Informatika IJISTECH (International Journal Of Information System & Technology) Jurnal ICT : Information Communication & Technology Health Sciences and Pharmacy Journal Building of Informatics, Technology and Science Madani : Indonesian Journal of Civil Society Jurnal Pengabdian kepada Masyarakat Nusantara Teknika IJISTECH Journal of Soft Computing Exploration Batara Wisnu : Indonesian Journal of Community Services The Indonesian Journal of Computer Science Research SmartComp The Indonesian Journal of Computer Science
Acihmah Sidauruk
Universitas AMIKOM Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences

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SISTEM PAKAR PENENTUAN MAKANAN PENDAMPING AIR SUSU IBU MENGGUNAKAN METODE MIN MAX DAN NAÏVE BAYES Acihmah Sidauruk; Abdullah Abdullah
Sistemasi: Jurnal Sistem Informasi Vol 9, No 1 (2020): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (862.223 KB) | DOI: 10.32520/stmsi.v9i1.587

Abstract

 Bayi merupakan seorang makhluk hidup anugrah dari tuhan. Makhluk hidup disebut bayi ketika usia 0-24 bulan, bayi mengalami perubahan fisik dan pertumbuhan secara cepat seiring dengan asupan kebutuhan gizinya, pada saat masa pertumbuhan bayi akan sangat bergantung pada pemberian makanan yang diberikan oleh ibunya. Oleh karena itu seorang ibu harus mengetahui pentingnya memberikan asupan makanan untuk mendampingi ASI sesuai waktu yang telah ditentukan, frekuensi, jumlah, tekstur, aktif, responsif dan higiens. Pembahasan utama dalam penelitian ini adalah menentukan makanan pendamping ASI pada Bayi dengan menerapkan Sistem Pakar melalui metode. Adapun pengembangan sistem pakar ini memilih dan menggunakan metode min max dan naive bayes, yang mana metodologi dari fakta  atau pengetahuan untuk menarik suatu kesimpulan. Cara kerja metode ini dilakukan dengan pencarian yang melalui penerapan data-data dan informasi masukkan dahulu dan akan menuju suatu kesimpulan.Untuk pengujian Algoritma menggunakan confusion matrix. Hasil dari penelitian adalah hasil uji pada 20 responden dengan algoritma naive bayes  dan naïve bayes dengan Min-Max berhasil memberikan rekomendasi 18 dari  20 data yang sesuai dengan hasil rekomendasi dari pakar. Algoritma bayes memiliki nilai akurasi sebesar 95,83%, nilai presisi sebesar 95% dan nilai recall sebesar 95% dalam memberikan rekomendasi jenis makanan pendamping ASI.Keywords: MP-ASI, Sistem pakar, Naïve Bayes
Potret media yang digunakan untuk mendapatkan informasi MP-ASI Tri Widayanti; Acihmah Sidauruk; Jamroni Jamroni; Sarni Anggoro; Riza Yulina Amry
Health Sciences and Pharmacy Journal Vol 5, No 3 (2021)
Publisher : STIKes Surya Global Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.288 KB) | DOI: 10.32504/hspj.v5i3.510

Abstract

Mother's knowledge about MP-ASI is a determining factor for practice of giving MP-ASI correctly. MP-ASI or complementary feeding is food or drink given to toddlers aged 6-24 months to meet nutritional needs other than breast milk. Information is the support needed to increase mothers' understanding of complementary feeding according to the needs of their age. The government has carried out several socializations both in print and electronic media related to MP-ASI in collaboration with several professions. This study was conducted to determine the media used by mothers of toddlers when getting information about MP-ASI. The method used was a case study on mothers of toddlers who have babies aged 6-24 months at the Posyandu, Sosromenduran Gedongtengen Region, Yogyakarta City. Sampling used total sampling with the instruments used to collect data about the media and mother's knowledge were questionnaires and questionnaires. The technique of collecting and presenting data uses descriptive statistics. The results of the study were as many as 27 people (52.94%) got information about complementary feeding from the internet, 15 people (29.41%) from television, 6 people (11.76%) from the smartphone group, 2 people (3.92 %) from newspapers, and 2 (3.92%) people from bulletin boards. Mother's level of knowledge about MP-ASI for toddlers aged 6-24 months at the Posyandu, Sosromenduran Gedongtengen Region, Yogyakarta City is in the good category with internet and television as information media that provide a lot of information about MP-ASI.
Klasifikasi Penyakit Diabetes Pada Imbalanced Class Dataset Menggunakan Algoritme Stacking Yoga Pristyanto; Acihmah Sidauruk; Atik Nurmasani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3442

Abstract

Diabetes is a disease that has the potential to cause death. Based on a report from the IDF (International Diabetes Federation), it was stated that in 2019 there were 463 million people in the world suffering from this disease. According to the Ministry of Health, Indonesia is a country that is included in the top 10 highest in the world by the number of people with diabetes. Machine learning models can be a solution for the early detection of diabetes based on history and available data. The majority of the research that has been done chiefly uses a single classifier. The single classifier model has a weakness when faced with class imbalance conditions in the dataset. Therefore, this study uses the Stacking Model for the classification and prediction process on the diabetes dataset. The goal is to improve the performance of a single classifier. In addition, the Stacking Model is expected to be one of the solutions for the classification of diabetes in the imbalanced class dataset. Based on two test experiments that have been carried out using two different datasets. The Stacking algorithm can produce an accuracy value of 89%, TPR value of 89%, TNR value of 85%, and G-Mean of 86.98% in the first dataset and can produce an accuracy value of 96%, TPR value of 96%, TNR value of 94%, and G-Mean of 94.99% in the second dataset. These results are better than single classifiers such as C4.5, K-NN, and SVM of the four indicators evaluated in both diabetes datasets. Thus, the proposed algorithm, namely Stacking (C4.5-SVM), can be a solution for classifying diabetes datasets with unbalanced class distribution conditions.
Implementation of The Economic Order Quantity Method For Inventory of Goods Muhammad Iqbal Kusrachmansyah; Erni Seniwati; Acihmah Sidauruk
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.545 KB) | DOI: 10.30645/ijistech.v6i1.217

Abstract

The inventory system that is being carried out at this time is by manual method where the inventory is still made using Microsoft Office in the form of Microsoft Word and Microsoft Excel in which data is written about data on the presentation of basic food items sold, expenditure of goods and orders. However, the presentation of goods is less efficient and effective. By looking at this situation and condition, the author makes a system "implementation of the economic order quantity method for inventory" where this system can help shop owners and employees who work at the shop make their work easier and also help streamline and be effective in recording the goods sold , issuing goods, and also ordering goods. In this system the author uses the PHP programming language with a MySQL database, where later the data will be entered and stored in the database and connected to PHP programming so that inventory control is easier, more efficient, and effective.
Implementation of The Economic Order Quantity Method For Inventory of Goods Muhammad Iqbal Kusrachmansyah; Erni Seniwati; Acihmah Sidauruk
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i1.217

Abstract

The inventory system that is being carried out at this time is by manual method where the inventory is still made using Microsoft Office in the form of Microsoft Word and Microsoft Excel in which data is written about data on the presentation of basic food items sold, expenditure of goods and orders. However, the presentation of goods is less efficient and effective. By looking at this situation and condition, the author makes a system "implementation of the economic order quantity method for inventory" where this system can help shop owners and employees who work at the shop make their work easier and also help streamline and be effective in recording the goods sold , issuing goods, and also ordering goods. In this system the author uses the PHP programming language with a MySQL database, where later the data will be entered and stored in the database and connected to PHP programming so that inventory control is easier, more efficient, and effective.
Klasifikasi Data Review IMDb Berdasarkan Analisis Sentimen Menggunakan Algoritma Support Vector Machine Gita Cahyani; Wiwi Widayani; Sharazita Dyah Anggita; Yoga Pristyanto; Ikmah Ikmah; Acihmah Sidauruk
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4023

Abstract

Advances in Web 2.0 technology encourage the creation of personal website content involving sentiments such as blogs, tweets, web forums, and various types of social media. The Internet Movie Database (IMDb) is a website that provides information about films from around the world, including the people involved, nominations received, and reviews from visitors. The number of movies and reviews on IMDb causes users or visitors to check the reviews to find out the film rating, so it takes time for users who have no experience using IMDb. Sentiment analysis can be a solution to label positive and negative reviews. One of the algorithms used in sentiment analysis is the Support Vector Machine (SVM) algorithm. This study aimed to test the accuracy of the SVM algorithm in the classification of sentiment review films on IMDb. The tests carried out using the Support Vector Machine algorithm resulted in an accuracy value of 86.5%. The SVM algorithm can also produce a precision value of 90.67% and a recall value of 91.62%.
Implementasi Metode Profile Matching Dan Analisis Gap Pada Website Penerimaan Karyawan Baru PT. Cebong Payment Alvy Chasanatussalma; Acihmah Sidauruk
Jurnal Teknik Komputer AMIK BSI Vol 8, No 2 (2022): JTK Periode Juli 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v8i2.12827

Abstract

Sumber Daya Manusia (SDM) merupakan roda penggerak bagi kemajuan perusahaan. Diperlukan tenaga kerja yang dapat bekerja dengan kemampuan maksimal demi memajukan perushaan. Oleh karena itu, SDM harus diseleksi dengan tepat agar mendapatkan tenaga kerja yang berkualitas. Untuk mendapatkan pegawai yang berkualitas sesuai dengan kriteria yng dibutuhkan perusahaan, namun sering terjadi polemik dalam pemilihan atau seleksi tenaga kerja, karena adanya kemungkinan terjadi penilaian subyektif terhadap sesorang sehingga proses tidak berjalan dengan semestinya. Permasalahan yang sering ditemui setiap hari salah satunya pengambilan keputusan. Terdapat beberapa pertimbangan yang harus diperhitungkan dan memiliki banyak pilihan yang tersedia membuat semakin sulit untuk mengambil keputusan guna menentukan pilihannya. Program sistem pendukung keputusan dapat dijadikan alternatif bagi perusahaan untuk mempermudah dalam proses pengambilan keputusan serta memberikan solusi atas permasalahan yang dihadapi. Penelitian ini akan mengimplementasikan metode profile matching dan analisis GAP berbasis website untuk seleksi penerimaan karyawan baru pada PT. Cebong Payment, hasil dari penelitian ini akan menghasilkan sebuah nilai dari sistem pendukung keputusan berbasis website dengan metode profile matching dana analisis GAP unutk mempermudah perusahaan dalam mendapatkan karyawan yang berkompeten sesuai bidang yang dibutuhkan.
Penggunaan Media Pembelajaran Berbasis Augmented Reality Untuk Pengenalan Anatomi Tubuh Berbasis Android Di Sekolah Dasar Acihmah Sidauruk; Mulia Sulistiyono; Muhammad Tofa Nurcholis
Batara Wisnu : Indonesian Journal of Community Services Vol. 3 No. 1 (2023): Batara Wisnu | Januari - April 2023
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v3i1.146

Abstract

In the developing applications that utilize Augmented Reality (AR) technology, one of the most commonly used methods is to utilize special markers. The marker serves as a reference point to determine the position of digital objects in the real world. Augmented Reality is a term for an environment that combines the real world and a virtual world created by a computer so that the boundary between the two becomes very thin. The partner in this community service activity is SD Negeri Nogotirto which is an educational unit with an elementary level in Sleman, Yogyakarta. From the results of the interviews it was found that in Natural Sciences (IPA) lessons learning activities still use torso media (mannequins), also use learning videos such as YouTube and so on, therefore we need interactive media that can be used at school or at home in teaching and learning activities that can improve students' understanding of the human body anatomy introduction material used by the teacher to convey learning material to students. With the existence of an interactive learning media that can be used as an innovative example of science material which is then seen and felt by students, so that they better understand the learning material. The result of this community service is an Android mobile Augmented Reality application as a teaching medium about the process of introducing body anatomy in science lessons
Analisis Pola Pembelian Konsumen Pada Era Pandemi Dengan Algoritma Apriori Berbasis Web Service Acihmah Sidauruk; Ilyas Ferry Ceasar Widayanto; Hairul Januar; Miftakhurrokhmat
Teknika Vol 11 No 3 (2022): November 2022
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v11i3.544

Abstract

Sejak kasus pertama di Indonesia diumumkan yaitu di awal tahun 2020, Covid-19 terus menyebar ke berbagai kota. Pandemi virus Covid-19 berdampak besar terhadap daya beli masyarakat dan jumlah transaksi penjualan di hampir semua komoditi, baik barang maupun jasa. Banyak pemilik usaha yang mengeluhkan turunnya target penjualan. Akan tetapi tidak semua sektor usaha mengalami penurunan, ada juga sektor usaha yang mengalami pertumbuhan cukup signifikan. Di masa pandemi ini semua orang melakukan usaha perlindungan diri agar terhindar dari penyebaran virus corona dengan rutin mengkonsumsi obat atau vitamin. Data konsumsi obat dapat dilihat pada data transaksi penjualan apotek. Data transaksi penjualan obat yang lebih dari 3 bulan pastilah tidak sedikit, sehingga dalam melakukan evaluasi terhadap data-data tersebut dibantu dengan algoritma data mining. Penelitian ini memanfaatkan algoritma Apriori untuk mengetahui pola pembelian konsumen pada Apotek Jingga di masa pandemi, proses pengolahan data dibagi dua yaitu asosiasi data sebelum pandemi, kemudian data di masa pandemi. Dari pola tersebut akan diketahui pola hubungan antar item produk, bahwa konsumen yang membeli obat X cenderung membeli obat Y. Hal ini akan mempermudah dalam proses perencanaan pengadaan obat, dan diharapkan dapat membantu manajemen untuk menganalisis setiap transaksi yang dilakukan oleh konsumen beserta kecenderungannya di masa pandemi. Hasil perbandingan berdasarkan tiga kali percobaan dengan parameter minimum support dan minimum confidence yang berbeda, jumlah aturan yang terbentuk selama pandemi lebih sedikit dibandingkan dengan aturan sebelum pandemi.
Evaluasi Tingkat Kapabilitas Keamanan Sistem Informasi Menggunakan Kerangka Kerja Cobit 2019 Acihmah Sidauruk; Asro Nasiri
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract- Organizational dependence on information technology support is getting bigger. An increase in information security must accompany the use of information technology. Information is currently a vital asset for the XYZ university; therefore, an evaluation of how well the controls and activities are in protecting information assets needs to manage at the XYZ university. The assessment uses the COBIT 2019 framework in the APO12, APO13, and DSS05 domains to identify XYZ university's capability in managing information security. The evaluation results show that information security management at XYZ University is still at capability level 2 for the APO12, APO13, and DSS05 domains. There are 17 recommendations for improving the implementation of information security.
Co-Authors Abdullah Abdullah Abdussalam Al Akbar Achmad Lukman, Achmad Ade Pujianto Ade Pujianto, Ade Afifah Nur Latifah Afrianto, Nurdi Afrig Aminuddin Alvy Chasanatussalma Anggita, Sharazita Dyah Arif Dwi Laksito Asro Nasiri Atik Nurmasani Bernadhed, Bernadhed Bister Purba Budy Satria Burhanudin, Nazil Ilham Danang Wijayanto Darmawan, Briga Dwi Rahayu Elsafira Budi Dewantari Erni Seniwati Febri Liantoni, Febri Gita Cahyani Gunawan, Puguh Hasta Hairul Januar Haryoko, Haryoko Hasyim, Jaka Wardana Hendra Kurniawan Ihsan, M. Arinal Ikmah Ikmah Ilyas Ferry Ceasar Widayanto Jamroni Jamroni Khoiruddin, Lukman Liga Mayola M. Arinal Ihsan Miftakhurrokhmat Miftakhurrokhmat, Miftakhurrokhmat Muhammad Iqbal Kusrachmansyah Muhammad Resa Arif Yudianto Mulia Sulistiyono Mulyatun, Sri Ningsih, Lidya Norhikmah Norhikmah Norhikmah, - Nurcholis, Muhammad Tofa Panggih Suseno Pirmansah, Imam Ainudin Proboningrum, Sandyea Rabiatul Adawiyah Raditya Wardhana Raditya Wardhana Rahmi, Alfie Nur Ria Andriani Riza Yulina Amry Robert Marco, Robert Rumini Rumini SAKINAH, PUTRI Salmuasih, Salmuasih Sarni Anggoro Satria, Dhimas Adi Seniwati, Erni Shofi Putri Ekadewi Sutarni, Sutarni Tri Widayanti Trisa Ayunanda Saputri Wardhana, Raditya Waskito, Bimo Wiji Nurastuti Wiji Nurastuti, Wiji Wiwi Widayani Wulandari, Evita Sekar Yoga Pristyanto Yudiyanto, Muhammad Resa Arif Yuli Astuti Yuli Astuti