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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal ABDINUS : Jurnal Pengabdian Nusantara ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Ranah Research : Journal of Multidisciplinary Research and Development JFAS : Journal of Finance and Accounting Studies TINTA NUSANTARA : Jurnal Ekonomi, Manajemen, dan Akuntansi Jurnal ELTEK Dinamis: Jurnal Pengabdian Kepada Masyarakat Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Indana Lazulfa, Indana
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Hidroponik: Pemanfaatan Pertanian di Lahan Terbatas Sebagai Alternatif Ketahanan Pangan Mufarrihah, Iftitaahul; Andriani, Anita; Lazulfa, Indana; Firdaus, Reza Augusta Jannatul
Dinamis: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Januari-Juni 2025
Publisher : Universitas Hasyim Asy'ari Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/dinamis.v5i1.9248

Abstract

Kurangnya pemanfaatan lahan pekarangan dan rendahnya keterlibatan ibu rumah tangga dalam kegiatan produktif menyebabkan potensi ekonomi dan ketahanan pangan di desa Banjaragung belum optimal. Pengabdian ini bertujuan untuk mengenalkan sistem pertanian hidroponik sebagai alternatif pemanfaatan lahan sempit yang bernilai ekonomi. Kegiatan dilaksanakan menggunakan metode Asset-Based Community Development (ABCD) yang berfokus pada pengembangan potensi lokal dan pemberdayaan masyarakat melalui pendekatan aset yang telah dimiliki. Hasil kegiatan menunjukkan bahwa peserta, terutama ibu rumah tangga, mampu memahami teknik pertanian hidroponik Deep Flow Technique (DFT), serta menunjukkan minat tinggi untuk menerapkannya di lingkungan rumah masing-masing. Pengabdian ini berhasil membangun instalasi hidroponik sederhana sebagai media praktik dan sarana edukasi lanjutan. Implikasi dari pengabdian ini antara lain meningkatnya kesadaran warga terhadap pentingnya teknologi hidroponik sebagai solusi pertanian modern, peningkatan akses terhadap sayuran sehat bebas pestisida, serta terbukanya peluang ekonomi kreatif berbasis hidroponik yang mendukung kemandirian pangan rumah tangga secara berkelanjutan.
PENGARUH KEPEMIMPINAN TRANSFORMASIONAL TERHADAP KINERJA KARYAWAN (STUDI KASUS DI KSPPS BMT AL-HIKMAH SEMESTA MLONGGO JEPARA) Lazulfa, Indana; Maulidah Rahmawati, Fitri
Tinta Nusantara 2018 Vol.1 Vol 11 No 2 (2025): JURNAL TINTA NUSANTARA
Publisher : Sekolah Tinggi Ilmu Ekonomi Nusantara Sangatta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55770/tn.v11i2.184

Abstract

This study aims to analyze the influence of transformational leadership on employee performance at KSPPS BMT Al Hikmah Semesta. This study uses a quantitative approach. The variables used in this study are Transformational Leadership (X) and employee performance (Y). The population in this study was all 299 employees at KSPPS BMT Al Hikmah Semesta across 40 branch offices. The sample in this study used saturated sampling, where the entire population was sampled. Data collection used questionnaires and literature review. The data analysis method used in this study was simple linear regression analysis. The results indicate that transformational leadership influences employee performance at KSPPS BMT Al Hikmah Semesta Mlonggo Jepara. This means that the higher the implementation of transformational leadership, the higher the employee performance.
ANALISIS FAKTOR PREDIKSI DIAGNOSIS TINGKAT KEPARAHAN PENYAKIT JANTUNG (HEART DISEASE) MENGGUNAKAN METODE STEPWISE BINARY LOGISTIC REGRESSION Lazulfa, Indana; J.F., Reza Augusta
Inovate Vol 2 No 1 (2017): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v2i1.211

Abstract

Penyakit jantung atau heart disease, yang juga dikenal dengan istilah penyakit kardiovaskuler adalah berbagai kondisi dimana terjadi penyempitan atau penyumbatan pembuluh darah yang dapat menyebabkan serangan jantung, nyeri dada (angina), atau stroke. Penyakit jantung dapat terjadi pada siapapun di segala usia, jenis kelamin, pekerjaan, dan gaya hidup. Selain itu, penyakit jantung tidak bisa disembuhkan. Kondisi ini membutuhkan pengobatan dan pemantauan hati-hati sepanjang masa hidup. Ketika pengobatan ini gagal, penderita diharuskan menjalani operasi bedah yang cukup mahal dan rumit. WHO menyebutkan penyakit jantung merupakan penyakit pembunuh orang di dunia nomor 1, yang tentu saja telah merenggut banyak nyawa di berbagai belahan dunia. Tingkat kematian akibat penyakit jantung ini cukup tinggi sekitar 12,8%. Hal ini dapat dicegah dengan mengurangi faktor risiko. Peran Teknologi Informasi dapat diwujudkan dengan teknik penggalian data (data mining) untuk mempersingkat waktu, akurasi dan pemilihan faktor pendeteksian dini penyakit jantung. Metode stepwise binary logistic regression memiliki keunggulan untuk menambah dan mengurangi variabel independen sesuai dengan tingkat signifikansi dari model yang terbentuk. Berdasarkan hasil analisis, lima variabel dengan bobot tertinggi yang harus lebih diwaspadai adalah tipe nyeri dada (cp), kolesterol (chol), depresi (oldpeak), jumlah arteri (ca), tingkat kerusakan/defect (thal). Sehingga akurasi dan kecepatan pemrosesan dari diagnosis tingkat keparahan penyakit jantung dapat diketahui melalui metode ini. Kata kunci: model prediksi, data mining, penyakit jantung, regresi logistik biner Heart disease, also known as cardiovascular, is a condition in which narrowing or blocking of blood vessels can cause heart attacks, chest pain (angina), orstroke. Heart disease can occur to anyone at any age, gender, occupation, and lifestyle. In addition, heart disease can not be cured. This condition requires careful treatment and care throughout life. When this treatment fails, the patient is required to undergo a surgery that is quite expensive and complicated. WHO says heart disease is the most killer disease in world, that has claimed many lives in different parts of the world. The death rate from heart disease is quite high around 12.8%. This can be prevented by reducing risk factors. The role of Information Technology can be realized with data mining techniques to shorten the time, accuracy and selection of early detection factors of heart disease. The stepwise binary logistic regression method has the advantage of adding and subtracting independent variables according to the level of significance of the model that had been formed. Based on the analysis, the five variables with the highest weights that should be more watchful are chest pain type (cp), cholesterol (chol), depression (oldpeak), number of major vessel (ca) and rate of defect (thal). So the accuracy and processing speed of the diagnosis of the severity of heart disease can be known through this model.Keyword: prediction model, data mining, heart disease, binary logistic regression
PENERAPAN ALGORITMA K-MEANS CLUSTERING SEBAGAI STRATEGI PROMOSI PENERIMAAN MAHASISWA BARU PADA UNIVERSITAS HASYIM ASY’ARI JOMBANG Mahmudi, Imam; Dwi Indriyanti, Aries; Lazulfa, Indana
Inovate Vol 4 No 2 (2020): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i2.692

Abstract

Admission of new students at the Hasyim Asy'ari University in Jombang is held every year. To more of the newstudents, admissions Committee conducted several promotions as very important early activities such as: online,banners, brochures, school events, and orally with student roles and Alumni. The number of competition infinding new student applicants, requiring the University of Hasyim Asy'ari to conduct analysis of several waysof promotion that have been done so that the promotion strategy can be seen which is more precise and effective.This research will conduct grouping/clustering of districts or cities based on certain attributes in a Web-basedapplication. The method used in this study is a K-means clustering algorithm that can group student data intomultiple clusters based on similar attribute agreements. The attributes used are hometown, online, oral,banners/billboards, brochures and events. At this Peletitian generate a total of 5 clusters (k = 5) with the firstcluster 20 hometown with the most effective promotional media online and oral, the second cluster of 31 Origincities with the most effective promotional media oral and online, the third cluster of 4 cities originating withmedia The most effective promotion of events and banners, the fourth cluster of 15 hometown with the mosteffective promotional media brochures and oral, the fifth cluster 2 hometown with the most effective promotionalmedia oral and event. The results of this study were used as a recommendation to determine a promotionalstrategy based on the promotional media of each cluster formed.Keywords: Promotion strategy, Admission of New Students, K-means Algorithm, Clustering
Penentuan Produk yang Diminati Pasar Menggunakan Algoritma K-Means Irwan Mahfud, Muhammad; Imam Agung, Achmad; Lazulfa, Indana
Inovate Vol 6 No 1 (2021): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i1.3145

Abstract

Grouping to get class similarity and dividing into several classes is one of the processes of data mining. The accuracy of the grouping is an important factor to determine the product's interest in the market. The purpose of this study is to determine which products are classified as the most desirable, desirable and lessdesirable markets, so that petrified in decision making. This research uses the CRISP-DM (Cross Industry Standard Process for Data Mining) method is a methodology from minimum data that is used to analyze problems in business processes or research units. K-Means algorithm is used for grouping products that are of interest to the market. K-Means algorithm partitioned class similarity based on predetermined parameters, by calculating the centroid distance in a class. This research resulted in a product determination information system that is of interest to the market. From the test results using six parameters, namely, the number of transactions, sales volume, product categories, product diversity, average sales and number of stocks with transaction data of 1,235 transactions. Obtained the three best clusters, performance testing has been done using the Elbow method with the most SSE difference of 28,00782. Keywords: Data mining, K-Means, clustering, products market demand.
Penerapan Metode K-Means Untuk Cluster Calon Penerima Kartu Jombang Sehat (KJS) Berbasis Website Syamsul Arifin, Muhammad; Arwin Dermawan, Dodik; Lazulfa, Indana
Inovate Vol 6 No 2 (2022): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i2.3170

Abstract

Clusters are very important in data grouping. Mentoro Village Government agencies have difficulty classifying population data based on poverty levels so that beneficiaries are right on target and grouping is still manual or not computerized. The purpose of this research is to create a website-based cluster system capable of grouping population data based on poverty levels so that the beneficiaries of the Kartu Jombang Sehat (KJS) are right on target. To classify population data based on the level of poverty, a method is needed, namely the K-Means method. This method is a partitioning clustering method that can separate data into different groups. The result of this research is a KJS recipient cluster system using the website-based K-Means method. The grouping results of 30 data consisted of 2 groups, where the group received KJS had 14 members and the group did not receive KJS as many as 16 people. Keywords: Cluster, Kartu Jombang Sehat (KJS), K-Means, System.
Penerapan Metode Saw (Simple Additive Weighting) Untuk Penilaian Peserta Lomba Da’i Di Pondok Putra Pesantren Tebuireng Berbasis Website Asaduddin, Mu’ammar; Imam Agung, Achmad; Lazulfa, Indana
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3676

Abstract

Structured assessment is a way that can be done to help the committee or the jury so that it is not wrong in assessing all participants of the Da'i competition in Pondok Putra Tebuireng Islamic Boarding School. Structured assessment can result in final scores that are very fair and accurate, so this race is a very fair and quality race. The purpose of this study is to assess the Da'i race participants fairly and accurately, so that the seeds of students who are superior in terms of da'wah are found. There are several criteria used for this assessment, namely the criteria of Rhetoric, Smoothness, Theme, Adab, and Age. The method used in this research is SAW (Simmpel Additive Weighting), that is, it is the existing method of Decision Support System. This method is a method with weighted addition terms. The basic concept of the SAW method that is, all attributes must find the weighted addition of the rating performance of each alternative The SAW method requires a normalization proces from the matrix decision (X) to a scale that can be stackup with each available rating. This research produces a website-based system, so that all users can access. The SPKKUDAIRENG system can be used to assess Da'i contestants at Pondok Putra Tebuireng Islamic Boarding School according to the rules formed by the SAW calculation process. Keywords: Simpple Additive Weighting, Da'i, Tebuireng, Website, Decision Support System
Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Weighted Product Berbasis Website di SDN Pandanwangi Jombang Rahmawati, Shella; Lazulfa, Indana
Inovate Vol 7 No 2 (2023): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i2.4113

Abstract

One of the educational institutions at Jombang district is Pandanwangi State Elementary School which applies development of student's potential for their abilities and knowledge. Problem in the assessment process of outstanding students at Pandanwangi State Elementary School is that the school doesn’t have a grading system that can be used transparently and professionally. This study aims to design and implement the Weighted Product method in the decision support system for determining outstanding students at Pandanwangi State Elementary School based on the website. Decision support system for outstanding students was made based on a website using php programming language CodeIgniter and MySQL as a database. Method that used in this study is Weighted Product, this method was chosen because time required in the calculation is more efficient. Weighted Product method can make the assessment process for outstanding students at Pandanwangi State Elementary School more appropriate, and the results can be used as a reference in making appropriate decisions. Result of this study is a decision support system for outstanding students. With 7 criteria for the average value of the report card, the mandatory extra-curricular value of scouting, sports value, attendance, discipline, activeness and religious value obtain the best results was Alternative-20 whose the name Lintang Dwi A. Keywords: decision support system, student achievement, weighted product
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JUARA KELAS SISWA PADA MI DARUL ULUM 2 BENDUNGREJO MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Anissa Sari, Vicky; Lazulfa, Indana
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5097

Abstract

Decision support system is a system that can provide problem solving, and can carry out communication forsolving certain problems in a structured or unstructured manner. The decision support system at the MI DarulUlum 2 Bendungrejo school currently only focuses on aspects of academic value. Hence, the determination ofclass champions running less optimally. This research aims to design decision support for determining web-basedclass champions and to apply the Analytical Hierarchy Process (AHP) in the problem of determining classchampions at MI Darul Ulum 2 Bendungrejo. The results of this study are that the Analytical Hierarchy Process(AHP) method can be applied to a decision support system for determining class champions at MI Darul Ulum 2Bendungrejo. The system is able to provide ranking results that are in accordance with several criteria, namelyfinal test scores, midterm test scores, quiz scores and number of absence.Keywords – Decision Support System, class champions, Analytical Hierarchy Process (AHP)
PENERAPAN METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT (WASPAS) DALAM MENENTUKAN KEDELAI TERBAIK UNTUK PRODUKSI TEMPE (Studi Kasus : Balai Penelitian Tanaman Aneka Kacang dan Umbi) Miftahul Jannah, Syaputri; Lazulfa, Indana; Widoyoningrum, Sri
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6120

Abstract

In Indonesia, soybeans are the main source of vegetable protein nutrition. Soybeans are the most important raw material in making tempeh. Tempeh is very popular with the public, besides being affordable, it is also high in vegetable protein. Soybeans have many types and kinds, the many varieties of soybeans make people confused to determine superior soybeans. The purpose of this study is to implement the Weighted Aggregated Sum Product Assessment (WASPAS) method in determining the best soybeans for tempeh production. The criteria used are protein content, fat content, seed color, seed shape and mature age. The system in this study was built using PHP programming language and MySQL as a database processor. The test results of the best soybean recommendation system for tempeh production state that all appearances and functions in the system can be used properly. Based on the calculation results of 8 soybean varieties, the highest value is in the baluran variety with a value of 0.937624224, then there are anjasmoro varieties, burangrang varieties, grobogan varieties, devon 1 varieties, argomulyo varieties, dering varieties 1, and the lowest values are in dena 1 varieties. Keywords: soybean, tempeh, WASPAS method.
Co-Authors Abdul Qodir Achmad Imam Agung Agung Rizky Wijaya Akhmad Mukhyiddin Ananda Wildan Fadhlulloh Anissa Sari, Vicky ANITA ANDRIANI, ANITA Aries Dwi Indriyanti ARIES DWI INDRIYANTI, ARIES Aries Dwi Indriyanti, Aries Dwi Arwin Dermawan, Dodik Asaduddin, Mu’ammar Didiek Rusdyanto Dwi Ari Pertiwi Estria, Suci Ratna F, Reza Augusta Jannatul Faizah, Arbiati Fatkhur Rizal, Muhammad Firdaus, Reza Augusta Jannatul Ginanjar Setyo Permadi Hadi Sucipto Iftitaahul Mufarrihah Ilahiyah, Iva Inayatul Indriawan, Fani Irwan Mahfud, Muhammad istiqomah istiqomah J.F., Reza Augusta Jauhar Kamilah Basa, Nuriyah Kistofer, Terdy Kristianto, Hery Lailatul Mukaromah Lailatul Qomariyah, Lailatul Laili, Elisa Nurul Laily Masruroh, Laily Listanto, Firgiawan Luluk Maulida Maghfiroh Luthfi Hakim mahmudi, imam Mahrus Ali Mashuri, Chamdan Masruroh, Sayidah Afyatul Maulidah Rahmawati, Fitri Miftahul Jannah, Syaputri Muhammad Dhany Al Farizy Muhammad Fatkhur Rizal Mujianto, Ahmad Heru Nur Isnaini, Nur Putri Amalia Rahmawati, Chusnia Rahmawati, Shella Rizqi Salamah, Evi Rozi, Ali Muchibbin Fachrur Siti Fatimah Azzahra Sucipto , Hadi Syamsul Arifin, Muhammad Vandhira, Via Widoyoningrum, Sri Zein Vitadiar, Tanhella