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KEEFEKTIFAN MODEL SEARCH, SOLVE, CREATE, AND SHARE (SSCS) DITINJAU DARI PRESTASI DAN MOTIVASI SISWA SMP MUHAMMADIYAH BANGUNTAPAN Satriawan, Rody; Abdullah, Abdullah; Hirzi, Ristu Haiban
TEACHING : Jurnal Inovasi Keguruan dan Ilmu Pendidikan Vol. 5 No. 2 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/teaching.v5i2.6468

Abstract

The purpose of this study is to describe the effectiveness of teaching with the teaching model search, solve, create, and share (SSCS) regarding students’ achievement and mathematics learning motivation.This research was quasi-experimental with the non-equivalent control group design. The population was all students of class VIII SMP Muhammadiyah Banguntapan consisting of five classes. The sample taken at random consisted of two classes: classes VIII-D dan VIII-E. Class VIII-D was taught by using the model conventional, while class VIII-E was taught by using the SSCS teaching model.  The data were analyzed by using a multivariate test Hotelling’s T2, MANCOVA test. Each analysis regarding at the significance level of 5%. The results of the study show that: (1) the SSCS model is effective in terms of student achievement and learning motivation, while the conventional model is not effective in terms of student achievement and learning motivation; and (2) there is a difference in effectiveness between the SSCS model and the conventional model in terms of student achievement and learning motivation. ABSTRAKPenelitian ini bertujuan untuk mendeskripsikan: (1) keefektifan model SSCS dan model konvensional ditinjau dari prestasi dan motivasi belajar siswa, dan (2) mengetahui apakah terdapat perbedaan keefektifan antara model SSCS dan model konvensional ditinjau dari prestasi dan motivasi belajar siswa setelah diberikan perlakuan. Penelitian ini merupakan penelitian eksperimen semu dengan desain kontrol grup non-ekuivalen. Populasi penelitian yaitu seluruh siswa kelas VIII SMP Muhammadiyah Banguntapan yang terdiri dari lima kelas. Sampel penelitian diambil dua kelas secara acak, yaitu terambil kelas VIII-D dan VIII-E. Kelas VIII-E diberikan perlakuan model SSCS, sedangkan kelas VIII-D diberikan berupa model konvensional. Kriteria Uji hipotesis yang digunakan yaitu data dianalisis secara multivariat menggunakan uji T2 Hotteling’s. Instrumen penelitian terdiri dari tes prestasi dan angket motivasi belajar siswa. Hasil penelitian menunjukkan bahwa: (1) model SSCS efektif ditinjau dari prestasi dan motivasi belajar siswa, sedangkan model konvensional tidak efektif ditinjau dari prestasi dan motivasi belajar siswa; dan (2) terdapat perbedaan keefektifan antara model SSCS dan model konvensional ditinjau dari prestasi dan motivasi belajar siswa.
Modeling multiple linear regression analysis in the formation of biogas pressure Basirun, Basirun; Hirzi, Ristu Haiban; Muanah, Muanah
Jurnal Agrotek Ummat Vol 10, No 3 (2023): Jurnal Agrotek Ummat
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jau.v10i3.16302

Abstract

Fossil energy reserves to date are dwindling inversely proportional to the amount of consumption. So to overcome this problem, alternative energy is needed, one of which is biogas which is sourced from organic waste. The biogas production process has so far experienced many obstacles so that the formation of pressure has not been optimal. The aim of the research was to create a model to see the magnitude of the influence of humidity and temperature on the pressure of the biogas produced. The method used is multiple linear regression with the following stages, identifying variables, testing classical assumptions, model building, and model goodness. Based on the results of the analysis, the model Y ̂=17.029-0.042X_1+3.480X_2 is obtained. Simultaneous test results show that simultaneously humidity and temperature have a significant effect because the sig is 0.000<α(0.05). The results of the partial test (T-Test) of each variable also showed significant results on biogas pressure because the sig was 0.000<α(0.05). The coefficient of determination of 0.8180 means that humidity and temperature variables affect the formation of biogas pressure by 81.80% and the rest is influenced by other factors such us pH, C/NRatio, starter, and so on.
PELATIHAN PENGOLAHAN LIMBAH TERNAK SAPI MENJADI ENERGI ALTERNATIF (BIOGAS) DI DESA PAKUAN LOMBOK BARAT Basirun, Basirun; Hidayaturrohman, Umam; Chintyana, Alissa; Hirzi, Ristu Haiban; Sastriana, Hanipar Mahyulis; Hastuti, Siti Hariati
Journal of Community Empowerment Vol 4, No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i3.37070

Abstract

ABSTRAK                                                                                Limbah kotoran sapi merupakan salah satu sumber pencemaran lingkungan jika tidak dikelola dengan baik. Desa Pakuan, sebagai salah satu sentra peternakan sapi di Kabupaten Lombok Barat menghadapi tantangan dalam mengelola limbah ternaknya. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan kelompok ternak dalam pengolahan limbah ternak menjadi biogas. Metode yang digunakan meliputi pendekatan partisipatif, transfer teknologi, dan monitoring evaluatif. Hasil pelatihan menunjukkan bahwa masyarakat memiliki antusiasme tinggi terhadap pemanfaatan biogas. Hal ini terbukti dari peningkatan pengetahuan yang sebelumnya 15% menjadi 80% dan peningkatan keterampilan sebelum kegiatan hanya 5% meningkat menjadi sebesar 80% sehingga dapat dikatakan bahwa mitra sudah mandiri dalam mengolah limbah ternak sapi menjadi energi alternatifr yaitu biogas dengan teknologi biodigester portabel.Kata kunci: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas. ABSTRACTCow manure is a source of environmental pollution if not managed properly. Pakuan Village, as one of the cattle farming centers in West Lombok Regency, faces challenges in managing its livestock waste. This community service activity aims to improve the knowledge and skills of livestock groups in processing livestock waste into biogas. The methods used include a participatory approach, technology transfer, and evaluative monitoring. The training results showed high community enthusiasm for biogas utilization. This is evident in the increase in knowledge from 15% to 80% and the increase in skills before the activity from only 5% to 80%. Therefore, it can be said that the partners are now independent in processing cattle waste into alternative energy, namely biogas, using portable biodigester technology.Keywords: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas.
Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data Nurmayanti, Wiwit Pura; Sastriana, Hanipar Mahyulis; Rahim, Abdul; Gazali, Muhammad; Hirzi, Ristu Haiban; Ramdani, Zuhut; Malthuf, Muhammad
International Journal of Educational Research & Social Sciences Vol. 2 No. 1 (2021): February 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i1.45

Abstract

Indonesia is an equatorial country that has abundant natural wealth from the seabed to the top of the mountains, the beauty of the country of Indonesia also lies in the mountains that it has in various provinces, for example in the province of West Nusa Tenggara known for its beautiful mountain, namely Rinjani. The increase in outdoor activities has attracted many people to open outdoor shops in the West Nusa Tenggara region. Sales transaction data in outdoor stores can be processed into information that can be profitable for the store itself. Using a market basket analysis method to see the association (rules) between a number of sales attributes. The purpose of this study is to determine the pattern of relationships in the transactions that occur. The data used is the transaction data of outdoor goods. The analysis used is the Association Rules with the Apriori algorithm and the frequent pattern growth (FP-growth) algorithm. The results of this study are formed 10 rules in the Apriori algorithm and 4 rules in the FP-Growth algorithm. The relationship pattern or association rule that is formed is in the item "if a consumer buys a portable stove, it is possible that portable gas will also be purchased" at the strength level of the rules with a minimum support of 0.296 and confidence 0.774 at Apriori and 0.296 and 0.750 at FP-Growth.