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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Krea-TIF: Jurnal Teknik Informatika Information System Journal (INFOS) IC Tech: Majalah Ilmiah Jurnal Pengabdian Pada Masyarakat METHABDI SmartComp IC Tech: Majalah Ilmiah
Risqiati, Risqiati
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Physics Public Health Other

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Sistem Pakar Diagnosis Anxiety Disorder Dengan Metode Forward Chaining Berbasis Web Shaela, Pamela; Sugianti, Devi; Syaifudin, Anas; Darmawan, Arief Soma; Risqiati, Risqiati
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp32-41

Abstract

Anxiety Disorders are the most common mental health disorders in the world. The 2018 Indonesian Health Research Main Results showed a significant increase in the prevalence of mental disorders. However, the comparison of the number of Indonesian people with professional psychology personnel is still very unbalanced and far from the WHO standard which requires the ratio of experienced mental health personnel to the ideal population of 1:30,000. Pekalongan City only has 6 clinical psychologists with a population of 317,958 people. So many people with mental health disorders do not receive adequate treatment. To overcome this problem, a web-based expert system was developed that can diagnose anxiety disorders using the forward chaining method, which imitates the thought process of an expert in making decisions based on symptom data and certain rules. This system was developed using the waterfall method, which includes needs analysis, system design, implementation, integration, testing, and maintenance. Testing was carried out using the White Box, Black Box, and User Acceptance Test (UAT) methods. Data for the UAT test was obtained by involving 100 respondents from Pekalongan City, who were selected using the Simple Random Sampling method and calculated using the Slovin Formula to ensure adequate representation. UAT results showed that respondents “strongly agreed” that the system was easy to use, informative, and useful in providing an initial understanding of anxiety disorders and the importance of mental health.
Algoritma Apriori Untuk Asosiasi Transaksi Penjualan Benang di PT Hana Text Risqiati, Risqiati; Indrayanti, Indrayanti; Sugianti, Devi
Krea-TIF: Jurnal Teknik Informatika Vol 9 No 1 (2021)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/kreatif.v9i1.3592

Abstract

Dalam catatan sejarah industri di Indonesia, Industri tekstil menjadi sektor yang terlama di Negara indonesia dan mempunyai pondasi yang baik dari produsen bahan baku hingga sampai ke konsumen. Produk tekstil turut memberikan sumbangsih nomor tiga dari semua potensial ekspor Indonesia. Benang adalah salah satu faktor yang menentukan kualitas produk dari industry tekstil. Komoditi benang yang makin  beragam dengan kualitas yang berbeda tentu harus diperhitungkan agar tidak menimbulkan kerugian pada perusahaan. Dengan penerapan algoritma apriori untuk mengetahui asosiasi transaksi penjualan benang, mampu memperkecil kerugian yang mungkin terjadi dalam perusahaan sehingga alur stok barang pun bisa terjaga untuk memenuhi kebutuhan produsen kain dan kualitas benang pun bisa terjaga lebih baik.
Business Intellegenge untuk Perencanaan Strategi Pemasaran pada UMKM Sarung dengan Manajemen Dashboard Setianto, Wahyu; Sugianti, Devi; Wibowo, Ari Putra; Risqiati, Risqiati; Darmawan, Arief Soma
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp220-225

Abstract

MSMEs are the backbone of the national economy, the government is trying to recover the economy after the Covid-19 pandemic by making a new breakthrough with digitalization. Digitalization helps MSMEs to process and analyze data for decision making. The data stored in the company is increasing, so it requires Business Intelligence to make it easier for companies to present information. MSME Abitex experienced problems in planning sales strategies by looking at interest in each city. The stages of research carried out were problem identification, data collection, design, manufacture, testing results. In identifying problems, problems were found in monitoring sales to create sales strategies, in data collection from 2021 to 2023. The number of transactions was 807 sales with 3 types of sarongs, a total of 14 sarongs produced. In designing using a star schema obtained from the sales fact table, time dim, customer dim, goods dim. Business intelligence can display data visualization by grouping by product, customer and by time, and can see interest in products in each city
Optimalisasi Penggunaan Microsoft Word untuk Membuat Surat Bagi Pengelola HIMPAUDI Se Kabupaten Pekalongan Risqiati, Risqiati; Anas Syaifudin; Sugianti, Devi; Kurniawan, Muhammad Faizal; Setianto, Wahyu
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol5No1.pp30-34

Abstract

HIMPAUDI (Association of Indonesian Early Childhood Education and Education Personnel) Pekalongan Regency is an independent organization that brings together elements of educators and education personnel for early childhood. A HIMPAUDI institution is said to be good can be seen from its administrative management in the fields of service, employment, finance and in orderly and regular learning activities. Currently, efficient and effective administrative management is a requirement for every HIMPAUDI institution that exists. The existence of HIMPAUDI management staff who still have difficulty in operating Microsoft Word. Even though in their daily lives the use of computers to manage HIMPAUDI correspondence administration is a mandatory thing to do. Existing limitations such as managers who cannot make mail merges, because so far they have been writing one by one to each recipient of the letter, not knowing how to optimize the buttons on the keyboard or the menus in Microsoft Word to make it easier to create letters are challenges as well as opportunities to carry out community service. Therefore, a community service was carried out to optimize Microsoft Word to create letters for HIMPAUDI administrators and the results obtained after this activity were carried out showed a significant increase from previously 26% of HIMPAUDI administrators who needed a long time to create letters using the toolbar and mail merge to 94% of HIMPAUDI administrators who found it easier to create letters using the toolbar and mail merge.
PENERAPAN CROSS SELLING UNTUK MENINGKATKAN PENJUALAN PADA KLINIK KECANTIKAN DENGAN MENGGUNAKAN ALGORITMA APRIORI Syaifudin, Anas; Risqiati, Risqiati; Sugianti, Devi; Darmawan , Arief Soma
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 2 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No2.pp295-300

Abstract

The impact of the COVID-19 pandemic has been felt by all sectors, including the economic sector. UMKM have really felt the impact after the covid 19 pandemic with declining sales turnover..This study aims to classify products from UMKM that are not selling well and selling well. The K mens method was chosen for grouping because it is simple and the K means method can group according to the same criteria grouped into a data cluster, for different data entered into another cluster. There are 28 data sets which will be grouped into 2 clusters . With the criteria of total goods sold, total transactions, difference in days and final stock. The data was taken from January 2022 to August 2022. After clustering, it was found that C1 had 12 products that were selling well, and for C2 there were 16 products that were not selling well. Therefore, UMKM can carry out sales promotion strategies that are fast and precise so that products that are not selling well can increase sales volume. Promotions can be carried out in the form of discounted promotions, mailer promotions, and fractional promotions
Sistem Pakar Diagnosis Anxiety Disorder Dengan Metode Forward Chaining Berbasis Web Shaela, Pamela; Sugianti, Devi; Syaifudin, Anas; Darmawan, Arief Soma; Risqiati, Risqiati
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp32-41

Abstract

Anxiety Disorders are the most common mental health disorders in the world. The 2018 Indonesian Health Research Main Results showed a significant increase in the prevalence of mental disorders. However, the comparison of the number of Indonesian people with professional psychology personnel is still very unbalanced and far from the WHO standard which requires the ratio of experienced mental health personnel to the ideal population of 1:30,000. Pekalongan City only has 6 clinical psychologists with a population of 317,958 people. So many people with mental health disorders do not receive adequate treatment. To overcome this problem, a web-based expert system was developed that can diagnose anxiety disorders using the forward chaining method, which imitates the thought process of an expert in making decisions based on symptom data and certain rules. This system was developed using the waterfall method, which includes needs analysis, system design, implementation, integration, testing, and maintenance. Testing was carried out using the White Box, Black Box, and User Acceptance Test (UAT) methods. Data for the UAT test was obtained by involving 100 respondents from Pekalongan City, who were selected using the Simple Random Sampling method and calculated using the Slovin Formula to ensure adequate representation. UAT results showed that respondents “strongly agreed” that the system was easy to use, informative, and useful in providing an initial understanding of anxiety disorders and the importance of mental health.
Implementasi Algoritma Naive Bayes Untuk Menentukan Lokasi Usaha Strategis Pasca Pandemi Covid 19 risqiati, risqiati; Syaifudin, Anas; Jumiati, Eny; setianto, wahyu; Hapsoro, Hermanus Wim
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 2 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i2.6594

Abstract

Setelah adanya pandemi covid 19 sektor UMKM sangat terdapat karena ketidak kestabilan perekonomian. UMKM harus melakukan terobosan dalam penjualannya. Lokasi usaha juga sangat menentukan berkembangnya suatu usaha. Dalam penentuan lokasi usaha menggunakan algoritma naive bayes. UMKM sangat membutuhkan sebuah aplikasi untuk dapat membantu dalam penentuan lokasi usahanya, karena semala ini masih mengandalkan intutif saja.  Algoritma naive bayes dipilih karena mempunyai tingkat akurasi yang lebih tinggi. Objek penelitian pada Ricco salah satu UMKM yang mengahsilkan kripik singkong yang pemasarannya sudah sampai keluar kota. Dalam penelitian ini menggunakan data sebanyak 92 data training dengan atribut nya adalah jenis toko, lokasi, ukuran toko, keramian toko, keramian sekitar toko, dan jam operasional dengan label yang diinginkan adalah tempat usaha tersebut rugi atau profit. tahapan penelitian yang dilakukan: identifikasi permsalahan, persiapan data, melakukan modeling, pembuatan aplikasi, dan pengujian. Hasil dari aplikasi tersebut dapat mendata toko, mendata kreteria, mendata atribut serta dapat melakukan perhitungan naive bayes. Sistem aplikasi sudah diuji dengan menggunakan pengujian balck box  
Analisis Komparasi Algoritma Naive Bayes Dan C4-5 Untuk Waktu Kelulusan Mahasiswa Risqiati, Risqiati; Ismanto, Bambang
IC Tech: Majalah Ilmiah Vol 12 No 1 (2017): IC Tech: Majalah Ilmiah Volume XII No. 1 April 2017
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v12i1.16

Abstract

STMIK Widya Pratama merupakan salah satu perguruan tinggi swasta yang ada di Pekalongan. Mahasiswa merupakan indicator maju atau tidak nya suatu institusi pendidikan. Sedikit banyaknya mahasiswa yang tidak tepat waktu kelulusannya berdampak pada akreditasi sebuah Perguruan Tinggi Swasta. Penelitian ini bertujuan untuk mengkomparasi data kelulusan mahasiswa STMIK Widya Pratama dari tahun 2011 – 2014 menggunakan dua algoritma yaitu algoritma Naïve Bayes dengan algoritma C4.5, sehingga dapat mengklasifikasi mahasiswa lulus tepat waktu dengan akurasi yang baik. Proses klasifikasinya menggunakan algoritma naïve bayes yang merupakan teknik prediksi berbasis probabilistik sederhana yang modelnya mengunakan fitur independen. Independen yang dimaksud adalah bahwa pada sebuah data tidak berkaitan dengan ada atau tidaknya fitur lain dalam data yang sama. Sedangkan algoritma C4.5 yang menghasilkan pohon keputusan akan bekerja dengan baik bila bias yang ada sedikit. Implementasi menggunakan Rapid Miner 5.3 digunakan untuk membantu menemukan nilai yang akurat.
PEMANFAATAN KERANGKA KERJA TOGAF DALAM PERANCANGAN ARSITEKTUR APLIKASI KEMAHASISWAAN DAN ALUMNI (STUDI KASUS STMIK WIDYA PRATAMA PEKALONGAN) Rusli, Christian Yulianto; Risqiati, Risqiati; Sulistyorini, Prasturi
IC Tech: Majalah Ilmiah Vol 13 No 2 (2018): IC Tech: Majalah Ilmiah Volume XIII No. 2 Oktober 2018
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v13i2.35

Abstract

The Open Group Architecture Frameworf (TOGAF) merupakan salah satu metode untuk membangun atau mengimplementasikan arsitektur enterprise (blueprint TI/SI). Dengan adanya arsitektur enterprise akan tercipta keselarasan antara fungsi bisnis organisasi dengan teknologi informasi atau sistem informasi. Saat ini perekaman data kemahasiswaan dan alumni di STMIK Widya Pratama masih dilakukan secara manual Sistem pendokumentasian data kegiatan kemahasiswaan, prestasi, beasiswa, dan alumni masih saling dilakukan secara manual, dan belum terintegrasi dengan sistem informasi akademik, sehingga menyulitkan bagian kemahasiswaan dan alumni dalam pengeloaan datanya. Integrasi sistem informasi akademik dengan sistem informasi kemahasiswaan dan alumni bertujuan untuk mengurangi kesenjangan yang terjadi dalam hal pengembangan sistem pelaporan kegiatan kemahasiswaan dan alumni. Kesenjangan itu dapat dikurangi ini dengan merancang arsitektur aplikasi kemahaiswaan dan alumni. Penelitian ini bertujuan untuk merancang arsitektur aplikasi kemahasiswaan dan alumni guna mendukung proses bisnis pada fungsi kemahasiswaan dan alumni. Metode yang digunakan dalam perancancangan arsitektur aplikasi ini menggunakan metode TOGAF ADM.
PENENTUAN METODE KLASIFIKASI MENGGUNAKAN ALGORITMA KNN UNTUK PENERBITAN SURAT KEPUTUSAN SERTIFIKASI GURU Risqiati, Risqiati; Indrayanti, Indrayanti; Darmawan, Arief Soma
IC Tech: Majalah Ilmiah Vol 14 No 1 (2019): IC Tech: Majalah Ilmiah Volume XIV No. 1 April 2019
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v14i1.52

Abstract

Guru merupakan ujung tombak dalam meningkatkan kualitas pendidikan yang diberi tanggung jawab untuk mendidik, membimbing, mengajar, mengarahkan, melatih, menilai, mengevaluasi peserta yang didiknya, agar peserta didik dapat mengembangkan potensinya di masa depan. Seorang guru professional bisa diukur dari sertifikasi pendidikan yang didapat dari sertifikasi guru. Sertifikasi guru adalah bukti formal pengakuan seorang guru professional yang diharapkan dapat meningkatkan kinerja dari mata pelajaran yang diampunya. Untuk membantu pihak dinas pendidikan dalam menentukan guru yang bisa mendapatkan pencairan SK sertifikasi guru, maka akan menggunakan algoritma K-NN yang dimana algoritma K-NN adalah algoritma yang menghitung berdasarkan jarak antar satu data dengan data yang lain.
Co-Authors Alkaromi, M. Adib Anas Syaifudin Chatarina Umbul Wahyuni Darmawan , Arief Soma DARMAWAN, ARIEF SOMA Faizal Kurniawan Hapsoro, Hermanus Wim Hermanus Wim Hapsoro Heru Setiadi, Aris Ekyanto Indrayanti, Indrayanti Inonu, Ismet Jumiati, Eny Raden Mohamad Herdian Bhakti Rosmila, Putri Rastya Royanti, Nur Ika Rusli, Christian Yulianto Shaela, Pamela Sugianti, Devi Sulistyorini, Prasturi Syaifudin, Anas Wahyu Setianto, Wahyu WIBOWO, ARI PUTRA Widiyono, Widiyono