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Rekomendasi Pemilihan Rumah KPR Subsidi Menggunakan Metode AHP Bahtiyar, Arul; Ristyawan, Aidina; Muzaki, M. Najibulloh
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 1 (2023): PROSIDING NSEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i1.3466

Abstract

Pertumbuhan penduduk yang semakin meningkat membuat kebutuhan akan rumah juga ikut meningkat.Akan tetapi dalam proses jual beli rumah pihak konsumen dan developer masih sering mengalami masalah sebab setiap rumah memiliki karakteristik yang berbeda yang disesuaikan dengan keinginan konsumen serta belum adanya metode yang tepat dalam membantu proses pemilihan rumah. Solusi dari permasalahan tersebut dipecahkan dengan menggunakan sistem pendukung keputusan menggunakan Analytical Hierarchy Process (AHP). AHP dibangun berdasarkan model berjenjang yang berbeda yang ditetapkan bersama dengan pembuat keputusan untuk dapat memberikan pengaturan nilai bobot tertinggi dari semua kriteria dan alternatif yang diusulkan. Kriteria yang digunakan dalam laporan ini adalah lokasi, fasilitas umum, metode pembayaran, dan lingkungan. Jika nilai yang dihasilkan konsisten, maka itu dapat digunakan sebagai acuan peringkat perumahan. Hasil dari penelitian ini adalah membuat sistem pendukung keputusan untuk membantu konsumen dan developer dalam memilih rumah dengan cepat dan akurat.
Optimisasi Pemilihan Penerima Program Pemberian Makanan Tambahan Balita Stunting dengan Sistem Rekomendasi Berdasarkan Metode SAW Pangestu, Sukma May Purba; Wardani, Anita Sari; Muzaki, M. Najibulloh
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 2 (2023): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i2.3474

Abstract

Stunting merupakan masalah gizi kronis yang mempengaruhi pertumbuhan dan perkembangan fisik anak. Di Indonesia kenaikan angka balita stunting masih cukup tinggi. Untuk menangani permasalahan tersebut upaya yang dilakukan pemerintah adalah dengan mengadakan program pemberian makanan tambahan (PMT). Yang menjadi masalah adalah masih banyaknya penyaluran program PMT yang tidak tepat sasaran, sehingga dibutuhkan sebuah sistem sebagai alat bantu pemilihan penerima program PMT balita stunting. Sistem yang akan dirancang adalah sistem rekomendasi pemilihan penerima program pemberian makanan tambahan balita stunting menggunakan metode Simple Additive Weighting (SAW).
Penerapan Design Model Visualisasi pada Pemetaan Tanaman Obat dan Langka Kabupaten Kediri Menggunakan Microsoft Power BI Stiawan, Heru; Muzaki, M. Najibulloh; Wardani, Anita Sari
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 3 (2023): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i3.3585

Abstract

Penelitian berlatar pada kolaborasi antara Badan Penelitian dan Pengembangan Daerah Kabupaten Kediri dengan Universitas Nusantara PGRI Kediri yang memiliki tugas memetakan data tanaman obat dan langka Kabupaten Kediri. Pemetaan ini, data yang disimpan hanya di Google Spreadsheet sehingga kualitas penyimpanan datanya kurang baik. Sehingga pada penelitian ini akan memberikan peningkatan dalam peningkatan penyimpanan kualitas data berupa data warehouse. Selain itu juga data yang sudah disimpan di data warehouse akan dibuatkan visualisasi data sehingga memudahkan pemangku kepentingan dalam mengambil sebuah keputusan nantinya. Metode yang digunakan dalam penelitian ini yaitu metode waterfall dalam pengembangan data warehouse dan pendekatan dalam desain data warehouse yaitu snowflake schema. Hasil yang didapat pada penelitian ini adalah data warehouse yang dirancang sudah dapat diimplementasikan dalam penyimpanan data sehingga kualitas peyimpanan data sudah jauh lebih baik dari sebelumnya. Selain itu penelitian ini menghasilkan dashboard visualisasi tanaman obat dan langka yang dapat dijadikan acuan dalam pengambilan keputusan
Pelatihan Dan Pengelolaan Sistem Pelaporan Dan Pengawasan Koperasi Harini, Dwi; Teguh Andriyanto; Nugroho, Arie; Wardani, Anita Sari; indriati, rini; M. Najibulloh Muzaki; Firliana, Rina; Daniati, Erna; Rino Adi Kurniawan; Muhammad Fikri Pratama
Jurnal Pengabdian Masyarakat Nusantara Vol 1 No 2 (2022): Vol.1 No.2 (Juni 2022)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/dimastara.v1i2.18004

Abstract

Saat ini digitalisasi pada semua sektor diterapkan guna peningkatan produktivitas, efisiensi dan efektifitas kelembagaan baik lembaga pemerintah maupun swasta. Demikian pula digitalisasi juga diterapkan pada lembaga koperasikhususnya koperasi yang berada di Kabupaten Kediri guna mempermudah dan mempercepat proses bisnis sehari-hari. Kegiatan pengabdian ini dilaksanakan untuk memberikan pelatihan dan pengelolaan sistem informasi pelaporan dan pengawasan koperasi dikarenakan pengguna masih banyak yang belum dapat mengimplementasikan aplikasi SAPPAKOP. Dengan adanya kegiatan pelatihan ini mempermudah dan mempercepat pengguna melaporkan kegiatannya dan dinas terkait yaitu Dinas Koperasi dan UMKM Kab. Kediri mudah untuk melakukan pengawasan karena sistem yang digunakan sudah terintegrasi antara koperasi dan dinas terkait.
Analysis of the Usability of the Badkidstore Indonesia Website Using the System Usability Scale (SUS) Method Achmadhin Tristan Syafaat; Sucipto; Muhammad Najibulloh Muzaki
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.118

Abstract

The development of e-commerce in Indonesia requires business actors to provide websites that not only function as a marketing medium, but are also able to provide a good user experience. The Badkidstore Indonesia website is an e-commerce platform that sells casual wear fashion products for young soccer players. As the main means of transactions, this website must have good usability so that users can shop comfortably and efficiently, although there are still obstacles in navigation, access speed, and purchase flow. This study aims to assess the usability of the Badkidstore Indonesia Website based on user perception using the System Usability Scale (SUS) method. The research was carried out in a descriptive quantitative manner through a SUS questionnaire containing 10 Likert scale statements which were distributed to 100 active users, then analyzed using the calculation of SUS scores. The results of the study showed that the Badkidstore Indonesia website obtained an average SUS score of 69.9 which was in Grade C- with the category "OK" and the Acceptable level. Based on the Net Promoter Score (NPS) classification, the score belongs to the Passive category, which shows that users are quite satisfied but not yet encouraged to recommend the website to other users. Based on the results of the research, the Badkidstore Indonesia website has met the minimum usability standards, but it still needs further development. Improvements are suggested on access speed, interface consistency, and purchase flow. This research is limited to the use of the SUS method, so further research is recommended to combine other methods such as UEQ or WebQual and retest after system improvement.
Usability Analysis of The Bos Reporting Web Application Using The Sus Method Ikrar Nusa Bhakti; Sucipto; Muhammad Najibulloh Muzaki
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.142

Abstract

The e-BOS application is a web-based reporting system for managing School Operational Assistance (BOS) funds used by school operators to digitally report financial data. However, during implementation, various issues related to navigation, clarity of workflow, and reporting efficiency were reported by operators in Kertosono, Patianrowo, Baron, and Ngronggot Districts. These problems indicate that the application’s usability may not be optimal, thus requiring a systematic evaluation to assess user acceptance and application effectiveness. This study aims to evaluate the usability level of the e-BOS web-based reporting system managed by the Education Office of Nganjuk Regency. The research focuses on user experience among BOS operators in four districts using the System Usability Scale (SUS) method. A questionnaire consisting of 10 statements was distributed to 100 respondents. The collected data were analyzed using SUS scoring calculation, standard score interpretation, usability acceptability classification, and Net Promoter Score (NPS) categorization. The results show that the e-BOS application achieved an average SUS score of 56.8, categorized as Grade F (Worst Imaginable) and classified as Not Acceptable. Based on NPS, the score falls into the Detractor category, indicating that most users are unwilling to recommend the application to others. The study concludes that the e-BOS system has not met an adequate usability level and requires significant improvement, particularly in interface design, workflow simplification, and user guidance resources. This research is limited to four districts; thus, future studies are recommended to expand the sample coverage and compare usability performance after system improvements.
Analysis of Halving Random Search Cross Validation in Machine Learning Model Optimization Alief Cahyo Utomo; Sucipto Sucipto; Muhammad Najibulloh Muzaki
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.169

Abstract

This study aims to analyze the effectiveness of the Halving Random Search Cross Validation method as an alternative for hyperparameter optimization in machine learning models compared to Grid Search Cross Validation and Random Search Cross Validation. The dataset used is Internet Service Churn with four algorithms: KNN, Decision Tree, SVM, and Gaussian Naive Bayes. The testing process involves 10-fold cross validation and three repetitions to ensure the validity of the results. The experimental results show that Halving Random Search Cross Validation is able to achieve competitive accuracy, precision, and recall performance (difference < 0.5%) compared to Grid Search in most models, with computational time savings of up to 62–74% on KNN, Decision Tree, and SVM. However, on Gaussian Naive Bayes with a small hyperparameter space, this method is slower due to the successive halving overhead. Random Search shows high speed but less stable on SVM and Gaussian Naive Bayes. The research conclusion states that Halving Random Search Cross Validation is the most balanced method for business cases such as churn prediction, with recommendations for application on complex models and further development using Hyperband or Bayesian Optimization
Co-Authors AA Sudharmawan, AA Abdulnazar, Mohamed Naeem Antharathara Achmadhin Tristan Syafaat Adhi Wicak Milbar Gamas Afandi, Zainal Afrizal Ahmad Bayu Prasetyo Agus Muji Santoso Ahmad Fauzan Ahmad Rifai Aidina Ristyawan Aidina Ristyawan Aidina Ristyawan, Aidina Akmal Hisyam Pradhana Alfian Tri Puji Saputra Alfin Dhohan F.E Alief Cahyo Utomo Amelia Nur Fadhila Ananda Tria Budi Pertiwi Andara Sintho Retnoningtya Andresangsya, Agastya Anita Sari Wardani Anita Sari Wardani Anita Sari Wardani Ardio, Gletser Yustitito Arie Nugroho Arie Nugroho, Arie Arti Romansa, Shasya Bahtiyar, Arul Chairul Effendi Dede Nur Hidayat Diki Zainul Alam Dwi Harini DWI HARINI Dwi Harini Erna Daniati Erna Daniati Erna Daniati Evania Priyanto Fadli Hidayat, M. Noer Farhan Darnanda Faruq, Umar Al Faruqziddan, Muhammad Fredi Pangestu Guterres, Juvinal Ximenes Herdika Septa Aulia, Ewanda Heru Stiawan Heru Teguh Santoso Ibnu Qoyim, Ibnu Ika Ari Sasmita Ikrar Nusa Bhakti Iqbal Ardiwijaya Irwan Darmawan Jannah, Ro’ikatul Jose, Anthonio Fernando K Nadliroh Kamilatutsaniya, Nila Karaman, Jamilah Kuni Nadliroh Kusanagi, Kanako N. Kusuma, Dedy Hidayat Lilik Sumaryanti Lutfi Verdia Lensi M Iqbal Khalid M. Andre Arif Wahyu.S M. Dewi Manikta Puspitasari Maha Shelin Sahira Mahesa Difa Ramadhan Margaretha, Vina Mathilda Yosephine J.T Maulana Reza Darmawan Milbar Gamas, Adhi Wicak Moh Kusen Mohamed Naeem Antharathara Abdulnazar Muhammad Alfian NF Muhammad Fikri Pratama Muhammad Iqbal Khalid Muhammad Muhammad Muhammad Reza Muzaki Mustofa, Mohammad Annan Makruf Nngrum, Dea Yuliana Ayu Nugroho, Arie Pangestu, Sukma May Purba Poppy Rahmatika Primandiri Pradhana, Akmal Hisyam Pramadani Kusuma Fadila Prasetyo Ari Bowo, Prasetyo Ari Putri, Ravega Widyawati Rahmad Riza Bahrudin Rahmawati Rahmawati Randy Mattin Arro’uf Rika Nur Safitri Rina Firliana Rini Indriati Rini Indriati Rini Indriati Rino Adi Kurniawan Riski Nurwahyudi Rizki Azhar Rosmala Widijastuti Sakin, Kharisma Sanggita Nur Fadila Sania Abelia Makdalena Sasmita, Wikan Setiani, Dila Elpin Shandy Arshad Busro Shandy Arshad Busro Cahyono Sidhiq Andriyanto Siswanto, Yoyok Adi Stiawan, Heru Sucipto Sucipto Sucipto Sucipto Sukawati, Yunita Sulastri Sulastri Tamora Nonia Wijaya Teguh Andriyanto Teguh Andriyanto Teguh Andriyanto, Teguh Theo Krisna Amarya Veentoar, Gery Hendri Wahid Ibnu Zaman Wardani, Anita Sari Wati, Dewi Rossylia Zakur, Yahya