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All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Jurnal Sistem dan Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer SemanTIK : Teknik Informasi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Teknik Informatika UNIKA Santo Thomas JurTI (JURNAL TEKNOLOGI INFORMASI) Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Informasi Interaktif Jurnal Tekno Kompak Jurnal Ilmiah Akuntansi Manajemen Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Informatika dan Sistem Informasi (JUISI) Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Teknologi Informatika dan Komputer Indonesian Journal of Applied Research (IJAR) Jurnal AbdiMas Nusa Mandiri RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer Rengganis Jurnal Pengabdian Masyarakat Melek IT: Information Technology Journal Jurnal Sains dan Teknologi Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Cakrawala: Jurnal Pengabdian Masyarakat Global Prosiding Seminar Nasional Universitas Ma Chung Jurnal Global Ilmiah Jurnal Teknik Elektro dan Komputer Smatika Jurnal : STIKI Informatika Jurnal
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Application of K-Means and K-Medoids Algorithms for Clustering Chili Commodity Trade Distribution in Indonesia Febri Widianto; Elika Thea Kirana; Nurahman; Depi Rusda
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.220

Abstract

Chili is one of the important commodities in agriculture and food, which is a product of the capsicum plant that has significant economic value in international trade. This study aims to identify an effective distribution strategy for red chili commodities in Indonesia through the use of the K-means and K-medoids clustering algorithms. The data used comes from the Central Statistics Agency (BPS) in 2022, including parameters-production, consumption, surplus/deficit, trade margin, and the impact of market operations and natural disasters. The implementation of K-means and K-medoids uses the RapidMiner application to form six provincial clusters based on the characteristics of red chili distribution. The results of the analysis show that K-medoids consistently outperforms K-means in cluster formation, with lower Davies-Bouldin Index (DBI) values ​​indicating better clusters. The conclusion of this study confirms that K-medoids is more effective in grouping red chili distribution areas in Indonesia, potentially providing a stronger foundation for strategic decision making in the distribution management of this commodity. Therefore, this study recommends the use of K-medoids as a more appropriate approach for planning and implementing red chili distribution strategies in Indonesia.
Rancang Bangun Website Media Promosi Sekolah dan Pengembangan PPDB dengan Metode User Centered Design Indah Ayu Wijayanti; Nurahman -
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.709

Abstract

SMP Negeri 8 Sampit is a school located on Jalan Jendral Sudirman Km.6.5, Pasir Putih Village, Mentawa Baru District, Ketapang. One of the benefits of technology used by the school is as a medium for school promotion and in the New Student Admission (PPDB) process. Currently, media promotion at SMP Negeri 8 Sampit is still being carried out through written media such as brochures, banners or bulletin boards. Dissemination of information conventionally has limited reach and time in disseminating information. While the PPDB process is carried out by recording the data of prospective students on paper and then the data is processed using Microsoft Excel. This has an impact on data processing for the announcement of the acceptance of the selection results which takes a long time. In addition, the accumulation of physical files is prone to damage. In this study, a school website was created using the User Centered Design (UCD) method and evaluated by blackbox. The existence of this website has answered the research objectives, namely making it easier for schools to disseminate information to the wider community and making it easier for the committee to manage PPDB files quickly and efficiently. System evaluation carried out using blackbox resulted in website functions being appropriate and running well when used.
Klasterisasi Sekolah Menggunakan Algoritma K-Means berdasarkan Fasilitas, Pendidik, dan Tenaga Pendidik Nurahman Nurahman; Agung Purwanto; Sigit Mulyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1411

Abstract

Fasilitas pendidikan merupakan salah satu indikator untuk tercapainya capaian pembelajaran di sekolah. Keberadaan fasilitas, guru, dan tenaga pendidik sangat dibutuhkan pada lingkungan sekolah. Untuk memudahkan pemerintah setempat dalam penanganan pemerataan kebutuhan sekolah, maka diperlukan pengklasteran atau pengelompokan sekolah. Tujuan dari penelitian ini adalah membantu pihak pemerintah dalam mengklaster sekolah tertentu menjadi beberapa cluster, sehingga memudahkan untuk melakukan pendampingan maupun pengadaan kebutuhan sekolah dilingkungan pemerintah Kabupaten Seruyan. Klasterisasi dilakukan dengan menggunakan algoritma K-Means. Penerapan Algoritma K-Means dengan menentukan nilai Cluster yaitu 3. Hasil penelitian menunjukan bahwa setiap Cluster memiliki jumlah keanggotaannya masing-masing. Pada Cluster0 terdiri dari 178 sekolah, Cluster1 terdiri dari 3 sekolah, dan Cluster2 terdiri dari 43 sekolah. Kemudian hasil pemeringkatan Cluster secara berurutan diperoleh dari Cluster1, Cluster0, dan terakhir adalah Cluster2. Selanjutnya dalam pengujian performance algoritma K-Means dengan membagi menjadi 3 Cluster diperoleh nilai Davies Bouldin Index senilai -0,695. Dari hasil pegolahan dan analisis data terdapat 43 sekolah dalam cluster rendah, sehingga penelitian ini merekomendasikan perlu dilakukan pendampingan dan pengadaan kebutuhan sekolah terhadap sekolah cluster rendah oleh dinas pendidikan pada pemerintah kabupaten Seruyan.
Penggunaan Sistem Pendukung Keputusan Seleksi Atlet Silat Sekotawaringin Timur Menggunakan Metode Simple Additive Weighting Norman Norman; Rosida Rosida; Shinta Putri; Nurahman Nurahman
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 2 (2020): Januari 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i2.1978

Abstract

This study discusses a case that wants to be completed using the SAW (Simple Additive Weighting) method. Some people are often confused and confused, how to solve the problem of a case using methods that have been applied. Basically all the problems and all the cases that we want to solve or want to find the decision-making system are enough with some methods that we want to do. Here the method used is the SAW method, the SAW method is very easy to understand and to be used in various cases. One of the examples discussed here is the case of searching for a selection of silat athletes from East Sekotawaringin East from 1 to 100 people will be tested and judged from the determined alternatives, until in the end searching and finding which champion 1 of 100 people who get the best rank.
Decision Support System untuk Menentukan Lokasi Cabang Baru Muhri Fashion Menggunakan Penggabungan TOPSIS dan SAW Winda Pertiwi; Nurahman Nurahman; Abdul Aziz
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 3 (2022): Maret 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3874

Abstract

Business is a commercial field of business that is in great demand. One of them is a business in the field of fashion or fashion. Fashion or fashion is something that is in demand by the wider community with an attraction to the way, pattern, and even decoration in the form of clothing, levis, trousers, and other fashions. The owner of the Haji Muhri shop is one of the people who are interested in doing business in the fashion world. The shop owner will set up a new store branch in the East Kotawaringin area, Central Kalimantan. The researcher offers owners to use a combination of the Simple Additive Weighting (SAW) method and the Technique For Order Preference By Similarity To Ideal Solution (TOPSIS), as a decision support system. Decision support system is a system that has the ability to perform an analysis of the decision-making model. Decision support system (DSS) is also a system with alternative processes that have a specific purpose, meaning that this system can be used in situations that are even very rare. The combination of methods between SAW and TOPSIS serves to produce an optimal decision based on alternatives and predetermined criteria. This study uses 7 locations as alternatives and 9 criteria. In this study, the alternative locations chosen were Mentawa Baru Hulu, Mentawa Baru Hilir, Ketapang, Sawahan, Baamang Hulu, Baamang Tengah, and Baamang Hilir, which resulted in Mentawa Baru Hilir with a value of 0.751 or 75.1% as the highest value from the location. other calculations that have been made to be the best alternative for the location of the new branch of the Haji Muhri Fashion Store
Clustering Village Development in West Java Province on the Condition of Developing Village Strata Using K-Means Algorithm Nurahman Nurahman; Nurani Aisiyah Tanjung
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.5937

Abstract

Villages are important units in the socio-economic structure of a country, and an in-depth understanding of the factors that influence village growth and welfare is essential. To facilitate the local government in handling the equitable distribution of village needs, it is necessary to cluster or group villages. The purpose of this research is to assist the government in clustering certain villages into several clusters, making it easier to monitor and procure village needs within the West Java Provincial government. Clustering is done using the K-Means algorithm. The application of the K-Means Algorithm by determining the Cluster value is 96. The results showed that each cluster has its own membership number. Cluster 0 consists of 8 villages, Cluster 1 consists of 12 villages, and Cluster 2 consists of 8 villages. Furthermore, in testing the performance of the K-Means algorithm by dividing into 96 clusters, the Davies Bouldin Index value is -0.996. From the results of data processing and analysis, it is necessary to provide assistance and procurement of village needs for villages with low clusters by the West Java provincial government
Penguatan Kapasitas Perempuan dalam Pencegahan Stunting melalui Edukasi Gizi, Bermain, dan Komunikasi di Kotawaringin Timur Nurahman Nurahman; Sigit Mulyanto; Dwika Lovitasari Yonia; Dwi Wahyu Prabowo; Lukman Bachtiar
Rengganis Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v5i2.828

Abstract

Stunting masih menjadi masalah serius di Kabupaten Kotawaringin Timur dengan prevalensi cukup tinggi dan berdampak pada kualitas generasi mendatang. Perempuan memiliki peran strategis dalam pencegahan stunting melalui pengasuhan, pemenuhan gizi, dan komunikasi dalam keluarga. Program Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan pengetahuan dan keterampilan perempuan dalam mencegah stunting dengan pendekatan terpadu berbasis edukasi. Metode pelaksanaan mencakup ceramah interaktif, diskusi, simulasi, serta tanya jawab yang melibatkan peserta dari Gabungan Organisasi Wanita (GOW), IPEMI, kader kesehatan, dan masyarakat. Kegiatan difokuskan pada empat materi utama, yaitu edukasi stunting dan pentingnya 1000 Hari Pertama Kehidupan (HPK), penerapan gizi seimbang melalui konsep “Isi Piringku”, stimulasi perkembangan anak melalui aktivitas bermain, serta komunikasi efektif orang tua–anak. Hasil kegiatan menunjukkan peserta antusias, aktif berdiskusi, dan memahami pentingnya peran mereka dalam mencegah stunting di lingkungan keluarga. Kesimpulannya, PKM ini mampu meningkatkan literasi gizi, kesadaran akan pentingnya stimulasi bermain, serta keterampilan komunikasi efektif, sehingga memperkuat kapasitas perempuan sebagai agen perubahan menuju terwujudnya generasi emas bebas stunting.
Pelatihan Desain Untuk Kreatif Meningkatkan Branding Sekolah Pada Pusat Kegiatan Guru Markisa Minarni; Nurahman; Selviana Yunita
Jurnal Pemberdayaan Masyarakat Vol 10 No 1 (2025): Mei
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i1.10773

Abstract

Graphic design is a medium for conveying information through visual communication language involves aesthetic rules. Social media and digital technology currently have a vital role, especially in the education sector. Based on research results, 95% of respondents agree with the support of information technology in the world of education. One aspect that can be improved is promotion and branding activities of schools to the wider community by utilizing school digitalization. Increasing the skills of teachers is needed to achieve effective school branding and promotion. Interesting, informative and communicative content is an important point in the era of searching for information through social media. On this basis, Darwan Ali University service team holds creative design training activities to improve teacher expertise. This training activity was carried out with teacher participants whose members of the Markisa PAUD (TK and KB) level Cluster Activity Center, Baamang District using Canva application. This research aims to increase the expertise of teachers in creating interesting and communicative content on social media to promote and improve school branding. The training results show that around 86% of PAUD teachers produce content designs for personal and school social media in the form of promotional content and school branding.
Pemberdayaan Guru TK di PKG Markisa melalui Literasi Digital untuk Branding dan Peningkatan Reputasi Sekolah Eka Prasetyaningrum; Serika Zai; Sari Hayati; Nurahman; Muhammad Riansyahputra; Muhammad David Rahadian
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 10 No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v10i1.28452

Abstract

Program pengabdian kepada masyarakat ini dilatarbelakangi oleh pentingnya literasi digital bagi guru taman kanak-kanak dalam menghadapi perkembangan teknologi dan kebutuhan sekolah untuk memperkuat branding serta reputasi di tengah masyarakat. Tujuan kegiatan adalah meningkatkan kompetensi guru dalam memanfaatkan media digital untuk promosi sekolah, mencakup pengelolaan media sosial, desain grafis, penulisan copywriting, serta pembuatan video promosi. Metode pelaksanaan dilakukan secara bertahap melalui sosialisasi, pelatihan, workshop, praktik langsung, dan pendampingan kepada 20 guru dari 10 sekolah mitra yang tergabung dalam PKG Markisa. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada pemahaman dan keterampilan guru, dengan rata-rata kenaikan 43% pada enam aspek utama, serta terciptanya produk digital berupa akun media sosial aktif, foto kegiatan sekolah dan video promosi sekolah. Selain itu, kegiatan ini mampu menumbuhkan kepercayaan diri guru dalam mengelola branding sekolah secara mandiri. Kesimpulannya, program ini berhasil memberdayakan guru melalui literasi digital untuk mendukung branding dan peningkatan reputasi sekolah, serta berpotensi menjadi model yang dapat direplikasi di wilayah lain.
PREDIKSI CHURN PELANGGAN UMKM DIGITAL MENGGUNAKAN ENSEMBLE LEARNING Krisopras Yaspis Verlenia; Dwi Wahyu Prabowo; Nurahman
Prosiding Seminar Nasional Universitas Ma Chung (Informatika & Sistem Informasi Bahasa dan Seni
Publisher : Ma Chung Press

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

Abstract

Abstrak. Churn pelanggan merupakan salah satu tantangan utama yang dihadapi UMKM digital karena dapat menurunkan pendapatan dan meningkatkan biaya akuisisi pelanggan baru. Kemampuan mengidentifikasi pelanggan yang berpotensi berhenti menggunakan layanan menjadi faktor penting dalam penyusunan strategi retensi yang efektif. Penelitian ini bertujuan membangun model prediksi churn pelanggan yang akurat dan interpretable menggunakan pendekatan machine learning pada dataset Telco Customer Churn yang terdiri atas 7.043 pelanggan. Permasalahan utama yang dihadapi meliputi ketidakseimbangan distribusi kelas serta kompleksitas faktor yang memengaruhi keputusan pelanggan untuk berhenti berlangganan. Metode penelitian mencakup tahap preprocessing data, feature engineering berbasis Recency-Frequency-Monetary (RFM), penanganan data tidak seimbang menggunakan SMOTE dan ADASYN, pemodelan menggunakan Random Forest, XGBoost, LightGBM, Stacking Ensemble, serta optimasi hyperparameter berbasis Bayesian Optimization. Evaluasi model dilakukan menggunakan metrik AUC-ROC, F1-Score, Precision, dan Recall, sedangkan interpretasi model dilakukan menggunakan SHAP (SHapley Additive exPlanations). Hasil penelitian menunjukkan bahwa XGBoost menjadi model terbaik dengan nilai AUC-ROC sebesar 0,8308 dan F1-Score sebesar 0,5894. Optimasi threshold pada nilai 0,36 berhasil meningkatkan F1-Score menjadi 0,6223 dan Recall menjadi 0,7380, sehingga kemampuan model dalam mendeteksi pelanggan churn meningkat secara signifikan. Analisis SHAP mengidentifikasi Contract, MonthlyCharges, dan is_month_to_month sebagai faktor yang paling berpengaruh terhadap churn pelanggan. Selain itu, segmentasi risiko berhasil mengidentifikasi 226 pelanggan berisiko tinggi dengan tingkat churn aktual sebesar 68,6%. Temuan ini menunjukkan bahwa kombinasi feature engineering, ensemble learning, threshold optimization, dan explainable artificial intelligence mampu menghasilkan sistem prediksi churn yang akurat serta mendukung pengambilan keputusan retensi pelanggan berbasis data pada UMKM digital.
Co-Authors Abdul Aziz Achmad Suprianur Ade Riani Ade Riani Agung Purwanto Agung Purwanto Agung Purwanto Ahmad fahrudin Ansari Aida Puspita Sari Anang Kukuh Adisusilo Andry Wardana Andy Ismail Aziz Maulana Bambang Priambodo Boby Yudistira Depi Rusda Deswanti, Karina Indah Diana Dwi Aulia Dwi Tjahjo Seabtian Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwika Lovitasari Yonia Eddy Mashamy Edo Tio Gunawan Elika Thea Kirana ella ayu lestari Erlangga, Dody Ernawati, Nindi Faishal Umar Faruq Febri Widianto Fujianto Fujianto Hazanisya Priliani Hutrim Heri Abijono Ibnu Ramadhan ica warisa Ida Ayu Putu Sri Widnyani Imam Hanafi Rahman Indah Ayu Wijayanti Indah Ayu Wijayanti Istanta Jetri Susanto julhaidi, akhmad Karina Indah Deswanti Krisopras Yaspis Verlenia Lukman Bachtiar Lukman Bachtiar M Syahrifudin Minarni Minarni Mohammad Mastur Alfitri Muhammad David Rahadian Muhammad Mastur Alfitri Muhammad Riansyahputra Mulyaning Tirta, Dewi Saras Wati Maduri Mustaqiem, Mustaqiem Nadia Sari Nadia Sari Nindi Ernawati Nindi Ernawati Noprida Arianto Nor Istiqamah Norman Norman Norman Norman Nur Hidayat Nur Hidayat Nurani Aisiyah Tanjung Pardini, Anggun Poppy Sulistiawaty Prasetyaningrum, Eka Prihandoko . Putri Martya Candra Putri, Shinta Ragil Kurniawan Ragil Kurniawan Rani Ayu Sampita Sari Ririn Ririn Rismadina Puspa Rosida Rosida Rosida Rosida Sabaraha, Rina Safitri, Diah Atika Sari Hayati Sari, Aida Puspita Serika Zai Setiawan Shinta Putri Sigit Mulyanto Sigit Mulyanto Siti - aminah Siti Aminah stepani Sumanti, Rika Thea Kirana, Elika Wantira, Ayu warisa warisa Warisa, Warisa Wenti Utari Wijayanti, Indah Ayu Winda Pertiwi winda pertiwi Wira Pradana Yessy Susianto Yuli Purwanto, Yuli Yuliyanti Yunita, Selviana