Claim Missing Document
Check
Articles

Pengembangan Komunitas Cerdas Melalui Koperasi RT RW Net Indonesia Berbasis Digital Economy 4.0 Andria, Fredi; Rahmi, Amelia; Salmah, Salmah; Tosida, Eneng Tita; Gunawan, Azzahra Ditri; Yusilawati, Alfadita Dwi
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 1 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i1.4367

Abstract

Koperasi RT RW Net Indonesia semenjak pandemi mengalami penurunan jumlah anggota dari 20 menjadi 15 orang dan penurunan neraca keuangan. Ini disebabkan tingginya tunggakan anggota, munculnya konflik internal antara pengurus/anggota. Menurunnya jumlah desa pengguna jasa jaringan komputer dari 30 menjadi 8 desa. Koperasi belum mampu melindungi hak cipta produk anggotanya. Tujuan pengabdian: Meningkatkan kinerja koperasi melalui peningkatkan layanan dan kepercayaan anggota terhadap transparansi keuangan serta operasional. Wujud peningkatan kinerja berbasis teknologi digital economy 4.0 diharapkan akan mendorong koperasi menjadi booster pembangunan desa cerdas di Desa Tugubandung. Metode: 1) Rancang bangun Sistem Informasi Manajemen (SIM) operasional dan manajemen koperasi, 2) Rancang bangun Sistem Informasi Manajemen Keuangan Sederhana (SIMKeuS), 3) Pelatihan character-capacity building manajemen organisasi dan keuangan, 4) Pelatihan pendaftaran hak cipta. Hasil yang sudah dicapai: a) Tersedia aplikasi SIM operasional koperasi berbasis web melalui pendekatan System Rapid Prototyping, b) Tersedia applikasi SIMKeuS, c) Peningkatan character dan capacity building bidang strategi marketing UMKM dan Koperasi, d) Kemampuan membuat laporan keuangan sederhana, e) Kemampuan mendaftarkan HKI produk anggota koperasi.
The Academic Triangle Implementation in Bogor New Normal Batik Village as a Collaborative Learning Center Tosida, Eneng Tita; Andria, Fredi; Warnasih, Siti; Utami, Novi Fajar; Sukmanasa, Elly; Ardiansyah, Deden; Harsani, Prihastuti; Achmad, Dinar Munggaran; Wahyuni, Yuli
International Journal of Ethno-Sciences and Education Research Vol. 2 No. 1 (2022): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v2i1.236

Abstract

The main objective of this study is build the new normal bogor batik village which is integrated with collaborative learning, so as to create the academic triangle ecosystem. The academic triangle is cyclical in nature, which continues as an ecosystem of education, research and entrepreneurship (not only being an entrepreneur but an entrepreneurial spirit that never gives up in the face of all obstacles). This cycle involves lecturers and students who at the same time have a positive impact on improving the social economy and strengthening local culture. Hopefully, in the end, the ecosystem can become a laboratory for strengthening the academic triangle
Decision Support System for Indibiz Package Selection Using K-Means Clustering and Analytic Hierarchy Process Martika, Karina; Tosida, Eneng Tita; Yanti, Yusma
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.434

Abstract

The rapid development of digital business in Indonesia has encouraged telecommunication providers to improve their services, particularly for small and medium-sized enterprises (SMEs). PT. Telkom Indonesia, through its Indibiz program, offers a wide variety of internet packages to support business operations. However, the diversity of available packages often leads to decision-making difficulties for both customers and internal stakeholders when determining the most suitable service based on customer needs, business scale, and financial capability. This study proposes a web-based Decision Support System (DSS) for Indibiz package selection by combining K-Means Clustering and the Analytic Hierarchy Process (AHP). K-Means is used to segment customers based on sales and usage behavior, while AHP prioritizes criteria such as speed, price, and call quota to produce recommendations. A dataset containing 6,192 Indibiz sales records from July to November 2023 was analyzed. The hybrid model was then implemented into a web-based application that enables decision-makers to visualize clustering results and determine package recommendations interactively. The experimental results demonstrate that the combination of K-Means and AHP produces more objective and consistent recommendations compared to manual selection. The DSS can help both customers and PT. Telkom Indonesia improve decision efficiency and reduce subjective bias in selecting internet packages.
Decision Support System for Letter Follow-Up Using K-Means Clustering, Principal Component Analysis, and Analytical Hierarchy Process Alif, Ilham Radan; Tosida, Eneng Tita
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.435

Abstract

Several institutions still face challenges in managing incoming letters due to the absence of a structured classification system. The follow-up process is often carried out based on the order of arrival without considering the urgency or importance of the content, leading to document accumulation and difficulties in determining priorities. To address these issues, this study aims to develop a Decision Support System (DSS) that assists in classifying letters and provides strategic recommendations for follow-up prioritization. The K-Means method is used to cluster letter data based on attribute similarities, supported by Principal Component Analysis (PCA) for dimensionality reduction. Furthermore, the Analytical Hierarchy Process (AHP) is applied to generate strategic recommendations for each cluster of letters. The research data were obtained from the institution’s budget management letter registry, which includes attributes such as institution name, department, description, program, activity, sub-activity, and sub-detail. The results indicate that the K-Means method is less optimal for clustering complex letter data, with a silhouette score of 0.208 and a Davies–Bouldin Index (DBI) of 1.793. However, the AHP method achieved a consistency ratio (CR) below 0.1, demonstrating the reliability of the generated recommendations. Overall, the developed system effectively provides accurate and efficient recommendations for letter follow-up prioritization, thereby improving decision-making processes within the institution.
Inventory Replacement Decision Support System Using Clustering and Analytical Hierarchy Process (AHP) Methods Nurjaman, Rusli; Tosida, Eneng Tita; Situmorang, Boldson Herdianto
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.436

Abstract

The Center for Human Resources Development of Transportation Apparatus (PPSDMAP) still faces obstacles in manual inventory management, resulting in a long time required to determine which items are suitable or need to be replaced. This study aims to develop a web-based Decision Support System (DSS) to assist the inventory replacement decision-making process effectively and efficiently. The K-Means Clustering method was used to group inventory data based on age, condition, and value (price) attributes using 230 inventory data from January 1–November 30, 2023. The test results produced a Davies-Bouldin Index (DBI) value of 0.435 with six optimal clusters. Furthermore, the Analytical Hierarchy Process (AHP) method was used to determine the priority of handling strategies for less suitable or unsuitable inventory groups, with a Consistency Ratio (CR) below 10%, indicating a good level of consistency. The results of the study indicate that the developed system can assist PPSDMAP in grouping inventory objectively and support inventory replacement decision-making in a systematic, efficient, and measurable manner.
Sistem Pendukung Keputusan Berbasis K-Means dan AHP Hybrid untuk Pemantauan Asrama Ananda, Fifi Rizky; Tosida, Eneng Tita; Utami, Dian Kartika
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 12 No. 2 (2025)
Publisher : Sekolah Sains Data, Matematika, dan Informatika. Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.12.2.200-211

Abstract

Pengelolaan asrama di Pusat Pengembangan Sumber Daya Manusia untuk Alat Transportasi (PPSDMAP) menghadapi tantangan dalam alokasi kamar, pemantauan fasilitas, dan pengambilan keputusan akibat ketergantungan pada sistem manual. Studi ini bertujuan untuk mengembangkan sistem pendukung keputusan cerdas (DSS) berdasarkan integrasi K-Means Clustering dan Proses Hierarki Analitis (AHP) guna meningkatkan efisiensi pengelolaan asrama. Pendekatan kuantitatif diterapkan dengan metode pengembangan sistem yang meliputi tahap perencanaan, pengumpulan data, analisis, desain, implementasi, dan pengujian. Data diperoleh melalui observasi dan wawancara di PPSDMAP, kemudian diproses menggunakan K-Means untuk pengelompokan data kamar asrama dan AHP untuk menentukan prioritas perbaikan fasilitas. Hasil menunjukkan bahwa sistem berhasil mengelompokkan data menjadi tiga kluster dengan nilai validitas Davies Bouldin Index sebesar 0.52, serta menghasilkan keputusan prioritas berdasarkan kriteria layanan, fasilitas, dan keamanan. Alternatif terbaik yang diidentifikasi adalah peningkatan konektivitas internet dengan bobot 49,25%, diikuti oleh pemasangan CCTV dan layanan laundry. Sistem ini secara efektif mendukung manajer dalam mengambil keputusan yang lebih cepat dan akurat berdasarkan data, dengan implikasi praktis untuk efisiensi manajemen fasilitas dan peningkatan kenyamanan penghuni asrama.
Development of a Village Information System for Acceleration of Village Services in Desa Tegal Kecamatan Kemang Bogor Ardiansyah, Deden; Harsani, Prihastuti; Tosida, Eneng Tita; Saputra, Abimanyu Oki; Bhayangkari, Andhika
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1113

Abstract

The Village Information System (SID) is an information system that changes raw data into ready-to-use information. In addition, SID will provide convenience to village officials in providing services to the community. The development of this SID is expected to be able to provide acceleration and improve the performance of village officials in terms of service quality to the community, productivity, responsiveness, responsibility and productivity. The development of a village information system in service activities in Tegal village is a transformation from manual to computerized, so systematic efforts are needed in the preparation involving subjects, objects and methods related to the transformation process. The development of the village information system uses the software development life cycle (SDLC). Efforts to control the quality of the Tegal Village Information System use four characteristics of ISO 9126, to know that the parts in the application system have correctly displayed error messages if an error occurs in inputting data.The result of this service activity is that every Village Apparatus can understand the material that has been submitted and can practice the results of the village administration work in a computerized manner based on the Village Information System.
Empowering The Kemang Bogor Batik Association Through A Batik Waste Processing Installation, Cooperatives, And Digital Marketing Sutanto; Eneng Tita Tosida; Fredi Andria
International Journal of Research in Community Services Vol. 7 No. 1 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i1.1188

Abstract

The Kemang Batik Association in Bogor Regency is a community-based creative industry with significant cultural and economic potential, however, its sustainability is constrained by untreated batik wastewater, weak financial management, and limited marketing capacity. Batik production activities generate colored liquid waste that is often discharged directly into the environment, posing pollution risks. In addition, the absence of formal cooperative institutions and reliance on conventional marketing methods hinder business growth and income stability among artisans. This community service program aimed to empower the Kemang Batik Association through an integrated approach encompassing environmentally friendly technology, institutional strengthening, and digital marketing. A portable electrocoagulation-based wastewater treatment installation (IPAL) namely Hydrobex, with a capacity of 100 liters per day was implemented to reduce pollutant loads in batik effluent. Furthermore, a Batik Cooperative was established to improve financial governance, collective management, and access to capital. Digital marketing platforms utilizing social media, online marketplaces and batik game based marketing (GARLaTik) were developed to expand market reach and enhance product visibility. The program was conducted through participatory training, technology transfer, mentoring, and continuous evaluation involving academics, students, and community members. The results indicate improved environmental awareness, strengthened organizational capacity, and increased adoption of digital marketing practices. This integrated empowerment model supports sustainable community development, promotes a green economy, and contributes to the achievement of relevant Sustainable Development Goals.
Potential classification of Smart Village – Smart Economy with Deep Learning methods Runanto Runanto; Muhammad Fahmi Mislahudin; Fauzan Azmi Alfiansyah; Maudy Khairunnisa Maisun Taqiyyah; Eneng Tita Tosida
International Journal of Quantitative Research and Modeling Vol. 2 No. 3 (2021): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.147

Abstract

Development gap in the city and village is still happening on Indonesia. It happened because of the massive urbanization factors. Poverty in the Indonesian villages are relatively higher than on the urbans. In order to reach the maximal city development, Ministry of Village, Development of Disadvantaged Regions and Transmigration of Indonesia created a sustainable village development program namely Village’s Sustainable Development Goals (SDGs) and optimized the village potential data. This study aimed to design the smart village – smart economy classification system by using deep learning methods on village potential data on Indonesia at 2020. The method used in this study is data mining processes namely KDD (Knowledge Discovery and Data mining). The result in this study showed the best models were obtained which consisting of 2 hidden layers and each layer is 128, 128 layers which using target class from the process of calculating the score is able to reach 94.93% of the accuracy from the training process and 96% on the testing process and succeeded to classify the potentials of smart village – smart economy.
SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION Ayasda Rahardian; Eneng Tita Tosida; Ema Kurnia; Hairulnizam Mahdin
International Journal of Quantitative Research and Modeling Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i2.451

Abstract

The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.
Co-Authors Abdul Thalib Bin Bon Abimanyu Okysaputra Achmad Noerkhaerin Putra Achmad, Dinar Munggaran Agung Djati Walujo Agus Sunarya Alif, Ilham Radan Amelia Rahmi Amelia Rahmi Amelia Rahmi Ananda, Fifi Rizky Andria, ferdi Anisa Intan Selatan Anisa Intan Selatan Aprido, Eka Aries Maesya Arifah Budiarti Ayasda Rahardian Bambang Sugiharto Bambang Sugiharto Baskoro, Arif Dwi Bhayangkari, Andhika Bon, Abdul Thalib Bin Caroko Hutomo Iriantoro Putra Deden Ardiansyah Dian Kartika Utami Diki Andika Saputra Dinar Munggaran Achmad Elly Sukmanasa Ema Kurnia Fajar Delli W Fajar Delli Wihartiko Falleryan, Muhammad Fauzan Azmi Alfiansyah Febrian, Muhamad Zidane ferdi Andria Feriadi Feriadi, Feriadi Firdaus, Muhamad Haikal Fredi Andria Gunawan, Azzahra Ditri Hafiz, Syauqi Abyan Hafizi, Muhamad Hairulnizam Mahdin Halimah Tus Sa’diah Hario Bayu Hoerudin, Andi Irfan Wahyudin Irman Hermadi Juanito, Axel Kamel Mahdi Karyaningsih, Dentik Kotim Subandi Kudang Boro Seminar Lita Karlitasari Lola Jaman Sentosa M Iqbal Suriyansyah Martika, Karina Maudy Khairunnisa Maisun Taqiyyah Muhamad Hafizi Muhamad Sunarzi Muhamad Sunarzi Muhammad Fahmi Mislahudin Muhammad Ridwan Novi Fajar Utami Nurcahya, Dimas Nurjaman, Rusli P.S, Axel Juanito Permana, Rizki Prihastuti Harsani Puri Indrawati Rezaghani Rizki Nurfajri Runanto Runanto Saka, Bima Ariya Salih, Yasir Salmah Salmah Salmah Salmah Salmah Salmah Saputra, Abimanyu Oki Sauri, Ahmad Sopyan Selo Aji Siti Warnasih Siti Warnasih Situmorang, Boldson Herdianto Soleha Nuramanah Soleha Nuramanah Sri Setyaningsih Subandi, Kotim Sufiatul Maryana Sugara, Victor Ilyas Suriansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Sutanto Syauqi Abyan Hafiz Tomi Herdiawan, Tomi Turrohman, Syaifa Utep Utep Victor Ilyas Sugara Walujo, Agung Djati Walujo, Agung Djati Werdaya, Rangga Kusumah Putra Marsha Yani Nurhadryani Yanti, Yusma Yasir Salih Yazir, M Sofwan Yuli Wahyuni Yuli Wahyuni Yusilawati, Alfadita Dwi